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K2VIEW BLOG

K2view secures $15M to fuel the next generation of Agentic AI, powered by AI-ready data

K2view lands $15M to scale its AI-ready Data Product Platform—powering agentic AI with real-time, trusted data. Backed by Trinity Capital.

K2view
Model Context Protocol (MCP)
RAG
Conversational AI
Data Products
Data Fabric
Data Mesh
Synthetic Data Generation
Test Data Management
Data Masking
Data Migration
Customer 360

July 8, 2025

Data masking in Workday: Why it’s hard and how to do it right

Discover the challenges of data masking in Workday and how to resolve them quickly and easily with a business entity approach.

Data Masking

June 30, 2025

Connecting Couchbase to the enterprise: Fast, secure, and bi-directional

Connect Couchbase to your enterprise systems with K2view’s new bi-directional connector. Enable fast, secure, and real-time data movement for AI and analytics.

K2view Customer 360 Synthetic Data Generation

June 17, 2025

Making MCP work with fragmented data: Why harmonization is the backbone of LLM context

For the Model Context Protocol (MCP) to be effective, harmonization – the process of unifying data from disparate systems – must be foundational.

Model Context Protocol (MCP)

June 16, 2025

MCP strategies for grounded prompts and token-efficient LLM context

LLM hallucinations can be avoided by better understanding of context and user intent, resulting in more relevant data retrieval and more accurate prompts.

Model Context Protocol (MCP)

June 16, 2025

MCP guardrails ensure secure context injection into LLMs

As enterprises deploy LLMs in customer-facing and back-office workflows they must control what these models see and what they might accidentally expose.

Model Context Protocol (MCP)

June 11, 2025

Latency is the hidden enemy of MCP

Think about a call center rep asking an AI assistant, “When Richard Jones called last week, we said we’d switch him to the family plan. Did we?”

Model Context Protocol (MCP)

June 10, 2025

From prompt to pipeline with MCP: Connecting LLMs to enterprise data

Imagine a call center agent asking an AI assistant, “Why is there a discrepancy in this customer’s latest invoice?” and getting a clear answer instantly.

Model Context Protocol (MCP)

June 5, 2025

DORA European regulations introduce new standards for data resilience

DORA European regulations are EU laws requiring financial and ICT firms to ensure the resilience, security, and integrity of their systems and data.

Data Masking

June 4, 2025

Conversational AI for customer service: Transforming support in the digital age

Conversational AI for customer service is AI technology that automates customer support, resolves issues, and enhances the user experience in real time.

Conversational AI

June 3, 2025

Conversational AI chatbot vs assistants: Understanding the differences

While a conversational AI chatbot is designed for simple conversations, virtual assistants have a broader feature set enabling more complex interactions.

Conversational AI

May 26, 2025

Conversational AI Chatbot accuracy: Why it matters and how to achieve it

Conversational AI chatbot accuracy is the degree to which a chatbot can interpret user queries and provide correct, relevant, and context-aware responses.

Conversational AI

May 25, 2025

Conversational AI in healthcare: Just what the doctor ordered

Conversational AI in healthcare is a technology that uses AI to allow patients, providers, and staff to communicate through chatbots or virtual assistants.

Conversational AI

May 22, 2025

Conversational AI platform vendors abound but which is right for you?

A conversational AI platform is a solution enabling text or voice interactions between people and machines often using LLMs augmented with enterprise data. Who...

Conversational AI

May 13, 2025

AI data layer - MCP combo brings enterprise data to generative AI

For operational use, LLMs must be fed enterprise data in real time. Combining an AI data layer with the Model Context Protocol (MCP) is their meal ticket..

Model Context Protocol (MCP)

May 6, 2025

MCP enterprise deployments combine company data with agentic RAG

MCP for the enterprise is a standardized protocol that grounds LLMs with real-time company data and uses agentic RAG to generate more contextual responses.

Model Context Protocol (MCP)

May 5, 2025

Salesforce MCP: Connecting AI agents to enterprise data

Model Context Protocol (MCP) enables AI agents to leverage Salesforce and other enterprise systems in real time, to boost GenAI response accuracy and data...

Model Context Protocol (MCP)

May 2, 2025

MCP SQL server: Connecting LLMs to trusted enterprise data

MCP SQL Server lets AI tools securely access real-time SQL server data and context, enhancing AI insights, accuracy, and data governance across systems.

Model Context Protocol (MCP)

April 30, 2025

SAP MCP: Unlocking SAP data access for AI agents

MCP for SAP enables AI to securely access real-time SAP data and context, improving agentic AI accuracy and data governance across SAP landscapes.

Model Context Protocol (MCP)

April 28, 2025

What is an MCP Server?

An MCP server is a component of the Model Context Protocol (MCP), a standard designed to connect GenAI applications with enterprise data and AI tools.

Model Context Protocol (MCP)

April 26, 2025

Awesome MCP servers: Top 15 for 2025

15 awesome MCP servers for LLM apps: Integrate enterprise data, enable RAG, and safely trigger AI tools. Compare features and find well-documented options.

Model Context Protocol (MCP)

April 23, 2025

What is an MCP client and how does it fit into the MCP protocol?

An MCP client is the app-side consumer that requests data from an MCP server to securely ground LLMs, access data, trigger tools, and manage AI agents.

Model Context Protocol (MCP)

April 20, 2025

What is Model Context Protocol?

Model Context Protocol (MCP) is a standard for connecting LLMs to enterprise data sources in real time, to ensure compliant and complete GenAI responses.

Model Context Protocol (MCP)

April 15, 2025

MCP Gartner insights for 2025

Industry analyst firm Gartner points out that while the MCP protocol simplifies how AI apps, agents, and data sources connect, it also introduces security and...

Model Context Protocol (MCP)

April 14, 2025

What are AI Agents?

AI agents are autonomous systems designed to analyze data, make decisions, and take actions to complete tasks, solve problems, or assist human users.

RAG

April 14, 2025

What is Agentic AI?

Agentic AI is an agent-based AI system that employs chain-of-thought reasoning and iterative planning to autonomously complete complex, multi-step tasks.

RAG

April 14, 2025

What is Table Augmented Generation (TAG)?

Table Augmented Generation (TAG) is a framework that improves the accuracy of GenAI responses by injecting structured enterprise data into the LLM prompts.

RAG

April 9, 2025

Conversational AI chatbots: Benefits, use cases, and challenges

A conversational AI chatbot uses artificial intelligence to simulate conversations between people via natural language processing and contextual awareness.

Conversational AI

April 9, 2025

Salesforce data masking: Why its native tools are NOT enough

K2view makes Salesforce data masking enterprise-ready by expanding its PII protection from self-contained sandboxes to complete production environments.

Data Masking

March 27, 2025

What is conversational AI?

Conversational AI is a technology that enables computers to understand, process, and respond to human language in a natural and contextually relevant way.

Conversational AI

March 13, 2025

AI customer experience = Better interactions between sellers and buyers

Companies are leveraging AI to make customer journeys smoother, more efficient, and more satisfying – by automating support and personalizing interactions.

Conversational AI

March 4, 2025

Customer service chatbots are transforming customer care

Customer service chatbots are applications designed to support customers more quickly, efficiently, and comprehensively, while reducing operational costs.

Conversational AI

March 3, 2025

Unleashing the power of agentic AI: K2view launches Data Agent Builder

Unlock the power of no-code agentic AI to build intelligent, data-driven agents effortlessly. Leverage enterprise data for smarter, more efficient AI apps.

K2view RAG Model Context Protocol (MCP)

February 25, 2025

Snowflake RAG: When Snowflake meets retrieval-augmented generation

Snowflake RAG, proficient in analytical GenAI with response times measured in minutes, can now support real-time operational GenAI, thanks to K2view.

RAG

February 18, 2025

AI virtual assistants streamline tasks and increase efficiency

AI virtual assistants are software programs that use AI to perform tasks on demand. Companies use them to enhance customer service and boost productivity.

Conversational AI

February 13, 2025

AI in customer service

AI in customer service transforms support by automating tasks, personalizing interactions, resolving issues instantly, and working 24/7 with no down time.

Conversational AI

January 9, 2025

Snowflake data masking: Overcoming the challenges with K2view

Snowflake data masking protects sensitive data by controlling access and masking at the column level. Learn how K2view data masking closes the gaps.

Data Masking

December 29, 2024

LLM single action agent solutions target lone task completion

An LLM single action agent is an AI system designed to respond to a specific query more effectively by leveraging the power of your large language model.

RAG

December 27, 2024

LLM graph database: Better data queries, insights, and understanding

LLM graph databases merge LLMs with graph DBs to enable natural language querying, enriched data insights, and deeper understanding of data relationships.

RAG

December 22, 2024

LLM SQL agents: Querying data in plain English

An LLM SQL agent accurately converts text queries into SQL commands to increase productivity and enable users to access enterprise data easily.

RAG

December 19, 2024

Best synthetic data generation tools for 2025

Synthetic data generation tools create secure fake data that mirrors real data. The top 2025 tools are K2view, Gretel, MOSTLY AI, Syntho, YData, and Hazy.

K2view Synthetic Data Generation

December 16, 2024

ReACT agent LLM: Making GenAI react quickly and decisively

A ReACT agent LLM is an AI model combining reasoning and actions to enable dynamic problem-solving, by thinking step-by-step and working with other tools.

RAG

December 10, 2024

Top AI RAG tools for 2025

AI RAG tools enhance LLM outputs. Here’s a comparison of the 6 leaders in the field: K2view, Haystack, Langchain, LlamaIndex, RAGatouille, and EmbedChain.

RAG

December 9, 2024

LLM powered autonomous agents drive GenAI productivity and efficiency

LLM-powered autonomous agents are independent systems that leverage large language models to make decisions and perform tasks without a human in the loop.

RAG

December 8, 2024

RAG vs prompt engineering: Getting the best of both worlds

For more accurate LLM responses, RAG integrates enterprise data into LLMs while prompt engineering tailors instructions. Learn how to get the best of both.

RAG

December 4, 2024

K2view climbs higher in Gartner Magic Quadrant for Data Integration Tools 2024

Gartner names K2view a Visionary in its Magic Quadrant for Data Integration Tools for the 2nd year in a row, and rates it higher in its ability to execute.

K2view Data Products

November 29, 2024

Multi agent LLM systems: GenAI special forces

A multi agent LLM system is comprised of multiple intelligent agents, powered by a large language model, that work together to accomplish complex tasks.

RAG

November 27, 2024

LLM prompt engineering: The first step in realizing the potential of GenAI

LLM prompt engineering is a methodology designed to improve the responses generated by your large language model using retrieval and generative components.

RAG

November 25, 2024

Generative AI use cases in customer service

More and more enterprises are turning to generative AI use cases in customer service to pilot their GenAI initiatives. Discover why in our recent survey.

Conversational AI

November 22, 2024

RAG structured data: Leveraging enterprise data for GenAI

RAG structured data is structured data retrieved from your enterprise systems and augmented into your LLM for more accurate and context-aware responses.

RAG

November 20, 2024

Generative AI adoption is still in its infancy

Generative AI adoption is the process by which organizations experiment with, and pilot, GenAI initiatives. Here are highlights from our recent survey.

RAG

November 18, 2024

What is best practice when using generative AI? Insights from Gartner

Generative AI can boost productivity and innovation, but its adoption can be challenging. Learn about GenAI best practices from Gartner analysts.

RAG

November 14, 2024

AI data privacy: Protecting financial information in the AI era

AI data privacy is the set of security measures taken to protect the sensitive data collected, stored, and processed by AI apps, frameworks, and models.

RAG

November 10, 2024

LLM Agent Architecture Enhances GenAI Task Management

An LLM agent architecture is a framework combining a large language model with other components to enable better task execution and real-world interaction.

RAG

November 4, 2024

Generative AI Data Augmentation: An IDC Research Snapshot

GenAI data augmentation enhances AI models with structured, unstructured, and semi-structured data from enterprise systems for improved query responses.

RAG

November 3, 2024

Sensitive data discovery: Finding the hidden needles

Sensitive data discovery is the process of identifying, classifying, and masking PII, conducted by companies to ensure compliance with data privacy laws.

Data Masking

October 31, 2024

LLM agent framework: Quietly completing complex AI tasks

An LLM agent framework is a software platform that creates and manages LLM-based agents that autonomously interact with their environment to fulfill tasks.

RAG

October 29, 2024

Prompt engineering vs fine-tuning: Understanding the pros and cons

Prompt engineering is a process that improves LLM responses by well crafted inputs. Fine-tuning trains a model on domain-specific data. Which to use when?

RAG

October 27, 2024

LLM function calling goes way beyond text generation

LLM function calling is the ability of a large language model to perform actions besides generating text by invoking APIs to interface with external tools.

RAG

October 20, 2024

RAG architecture + LLM agent = Better responses

RAG architectures powered by LLM agents retrieve relevant data from internal and external sources to generate more accurate and contextual responses.

RAG

October 18, 2024

Data masking requirements for 2025 and beyond

Data masking requirements are key to protecting PII and other sensitive data stored by your company to ensure compliance with data protection regulations.

Data Masking

October 14, 2024

AI data governance enforces privacy and quality

AI implementations bring data governance into sharp focus, because grounding LLMs with secure, trusted data is the only way to ensure accurate responses.

RAG

October 10, 2024

Data masking use cases: Top 9 for 2025

Data masking use cases span GenAI and employee training, as well as data testing, compliance, security, sharing, governance, analytics, and migration.

Data Masking

October 7, 2024

What are LLM agents?

LLM agents are AI tools that leverage Large Language Models (LLMs) to perform tasks, make decisions, and interact with users or other systems autonomously.

RAG

October 1, 2024

Unstructured data masking: More effective via business entities

Conventional data masking tools can't process or analyze unstructured data because there's no predefined data model. Modern entity-based data masking can.

Data Masking

September 25, 2024

LLM guardrails guide AI toward safe, reliable outputs

LLM guardrails are agents that ensure that your model generates safe, accurate, and ethical responses by monitoring and controlling its inputs and outputs.

RAG

September 23, 2024

Sensitive data discovery tools make order out of chaos

Sensitive data discovery tools automatically scan vast data stores to locate and classify confidential information like PII for compliance and security.

Data Masking

September 17, 2024

Generative AI use cases: Top 10 for enterprises in 2025

Generative AI use cases are AI-powered workloads designed to create content, enhance creativity, automate tasks, and personalize user experiences.

RAG

September 16, 2024

LLM vector database: Why it’s not enough for RAG

LLM vector databases store vector embeddings for similarity search, but lack the structural data integration and contextual reasoning needed for RAG.

RAG

September 13, 2024

Oracle Data Masking: Benefits, Barriers, and Beyond

Oracle data masking hides sensitive data in its own non-production databases using realistic fake data, to help protect privacy and reduce storage costs.

Data Masking

September 11, 2024

Prompt engineering techniques: Top 5 for 2025

Prompt engineering techniques are methods that enhance the accuracy of LLM responses, including zero-shot, few-shot, chain-of-thought prompting and others.

RAG

September 11, 2024

LLM text-to-SQL solutions: Top challenges and tips

LLM-based text-to-SQL is the process of using Large Language Models (LLMs) to automatically convert natural language questions into SQL database queries.

RAG

September 9, 2024

Delphix competitors and the 12 pitfalls of data virtualization

Delphix Test Data Management is fine for some, but those with complex data environments should beware the 12 pitfalls of data virtualization.

Test Data Management

September 5, 2024

AI prompt engineering: The art of AI instruction

AI prompt engineering is the process of giving a Large Language Model (LLM) effective instructions for generating accurate responses to user queries.

RAG

August 27, 2024

Grounding data is like doing a reality check on your LLM

Grounding data is the process of exposing your Large Language Model (LLM) to real-world data to ensure it responds to queries more accurately and reliably.

RAG

August 26, 2024

Chain-of-thought reasoning supercharges enterprise LLMs

Chain-of-thought reasoning is the process of breaking down complex tasks into simpler steps. Applying it to LLM prompts results in more accurate responses.

RAG

August 22, 2024

Enterprise LLM: The challenges and benefits of generative AI via RAG

Enterprise Large Language Models (LLMs) using Retrieval-Augmented Generation (RAG) enhance the accuracy and context of their responses with generative AI.

RAG

August 8, 2024

RAG vs fine-tuning vs prompt engineering: And the winner is...

RAG, fine-tuning, and prompt engineering are all techniques designed to enhance LLM response clarity, context, and compliance. Which works best for you?

RAG

August 8, 2024

Enterprise RAG: Beware of connecting LLMs directly to data sources

When deploying enterprise RAG, you may want to give your LLM’s agents and functions direct access your operational systems. But that’s not a great idea.

RAG

August 6, 2024

AI database schema generator: What is it? Why is it critical for LLMs?

An AI database schema generator is a tool using AI to automate the creation and management of database schemas. Schema-aware LLMs respond more accurately.

RAG

August 5, 2024

RAG prompt engineering makes LLMs super smart

Retrieval-Augmented Generation (RAG) prompt engineering is a generative AI technique that enhances the responses generated by Large Language Models (LLMs).

RAG

July 31, 2024

Data quality for AI: Through the looking glass

The concentration on generative AI puts data quality into sharp focus. Grounding LLMs with trusted private data and knowledge is more essential than ever.

RAG

July 10, 2024

RAG for structured data: The pitfalls of data lakes

Are data lakes and/or warehouses the best platforms for integrating structured data into retrieval-augmented generation architectures? Let’s find out.

RAG

July 9, 2024

Grounding AI reduces hallucinations and increases response accuracy

Grounding AI is the process of connecting large language models to real-world data to prevent hallucinations and ensure more reliable and relevant outputs.

RAG

June 25, 2024

Chain-of-thought prompting 101

Chain-of-thought prompting is a technique that trains GenAI models to use step-by-step reasoning to handle complex tasks with greater accuracy and agility.

RAG

June 16, 2024

Data readiness can make or break your GenAI projects

Data readiness is the ability to prove the fitness of data for generative AI use cases. Jean-Luc Chatelain told us how it affects enterprise GenAI adoption.

RAG

June 10, 2024

Generative AI hallucinations: When GenAI is more artificial than intelligent

Generative AI hallucinations are incorrect or nonsensical GenAI outputs, resulting from flawed data or misinterpretations of data patterns during training.

RAG

May 27, 2024

GenAI data gap: Is your enterprise data ready for generative AI?

What’s keeping you from realizing the full potential of generative AI? The GenAI data gap, of course! Learn how to make your enterprise data GenAI-ready.

RAG

May 20, 2024

RAG architecture: The generative AI enabler

RAG architecture enables real-time retrieval and integration of publicly available and privately held company data that enhances LLM prompts and responses.

RAG

May 12, 2024

LLM hallucination risks and prevention

An LLM hallucination refers to an output generated by a large language model that’s inconsistent with real-world facts or user inputs. RAG helps avoid them.

RAG

May 7, 2024

AI personalization: It’s all about you!

AI personalization combines Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) to create personalized and satisfying user experiences.

RAG

May 5, 2024

What is an AI Hallucination?

An AI hallucination is an AI-generated output that’s factually incorrect, nonsensical, or inconsistent, due to bad training data or misidentified patterns.

RAG

May 1, 2024

What is grounding and hallucinations in AI?

Grounding is a method designed to reduce AI hallucinations (false or misleading info made up by GenAI apps) by anchoring LLM responses in enterprise data.

RAG

April 21, 2024

TDM Solutions for 2025: Bloor Research rates K2tdm as “powerful”

K2view TDM solutions validated for reducing test data provisioning delays, eliminating manual data masking, and simplifying complex test environment setups.

K2view Test Data Management

April 16, 2024

Gartner Generative AI: Shifting Gears to GenAI at the 2024 Data & Analytics Summit

Each of the many Gartner D&A summits I’ve attended had its own theme. This year it was all about getting your data ready for GenAI. Here are my takeaways.

RAG

April 10, 2024

RAG Hallucination: What is It and How to Avoid It

Although regular RAG grounds LLMs with unstructured data from internal sources, hallucinations still occur. Add structured data to the mix to reduce them.

RAG

March 21, 2024

Human in the loop: Must there always be one? Another AI horror story

With firms being held liable for their chatbot interactions, it's up to AI to ensure accurate answers. Having to rely a human in the loop is a non-starter.

RAG

March 19, 2024

RAG conversational AI – Making your GenAI apps more effective with RAG

Supercharge conversational AI with Retrieval-Augmented Generation (RAG) for responses that are as complete, compliant, and current as your enterprise data.

Conversational AI

March 11, 2024

GenAI Data Fusion – New from K2view

AI Data Fusion injects enterprise data into Large Language Models – on demand and in real time – to ground GenAI apps and deliver responses users trust.

K2view RAG Model Context Protocol (MCP)

March 4, 2024

LLM Grounding Leads to More Accurate Contextual Responses

LLM grounding is the process of linking linguistic turns of phrase to the real world, allowing LLMs to respond more accurately than ever before.

RAG

February 28, 2024

Retrieval-Augmented Generation vs Fine-Tuning: What’s Right for You?

When your LLM doesn’t meet your expectations, you can optimize it using retrieval-augmented generation or by fine-tuning it. Find out what's best, when.

RAG

February 20, 2024

Active Retrieval-Augmented Generation – For Quicker, Better Responses

Active retrieval-augmented generation improves passive RAG by fine-tuning the retriever based on feedback from the generator during multiple interactions.

RAG

February 18, 2024

RAG GenAI: Why retrieval-augmented generation is key to generative AI

RAG transforms generative AI by allowing LLMs to integrate private enterprise data with publicly available information, taking user interactions to the next...

RAG

February 14, 2024

LLM AI Learning via RAG Leads to Happier Users

By injecting private data into large language models, RAG enhances LLM AI learning for more personalized, precise, and pertinent answers to user queries.

RAG

February 6, 2024

What is PII Masking?

PII masking is the process of hiding any personally identifiable information in order to protect individual identities and comply with data privacy laws.

Data Masking

January 31, 2024

Data Masking Tools List for 2025

If you’re in the market for a data masking tool to protect PII and enforce compliance with data privacy regulations, check out this list before deciding.

Data Masking

January 28, 2024

What is Retrieval Augmented Generation

Retrieval-augmented generation is a framework for improving the accuracy and reliability of large language models using relevant data from internal sources

RAG

January 28, 2024

Gartner LLM report: RAG tips for grounding LLMs with enterprise data

Learn how to prepare for RAG with this FREE condensed version of the 2024 Gartner LLM report, “How to Supplement Large Language Models with Internal Data”.

RAG

January 16, 2024

Static vs Dynamic Data Masking: Permanent vs Real-Time Data Protection

Static data masking obscures data permanently, while dynamic masking hides data on the fly, A data product platform runs either, depending on the use case.

Data Masking

January 7, 2024

Top Data Masking Tools Comparison for 2025

Data masking replaces PII with fake but realistic data. Learn about the top tools for 2025: K2view, EPI-USE LABS, Oracle, IBM, Camouflage, and Informatica.

Data Masking

January 1, 2024

RAG Chatbot: What’s it All a Bot?

RAG chatbots are generative AI apps that combine retrieval and generation models to enable more accurate and relevant responses than traditional chatbots.

RAG

December 24, 2023

Data Masking Tools for SQL Server: What, Why, and How?

Data masking tools for SQL Server are software solutions that automatically discover and mask any sensitive data found in Microsoft SQL Server databases.

Data Masking

December 18, 2023

Free Data Masking Tools – Really?

Protecting PII and sensitive data with free data masking tools may be tempting, but there are major risks involved. Here’s what you need to know.

Data Masking

December 7, 2023

Data Masking Tools: Gartner Perspectives

Here’s a free high-level synopsis of Gartner’s Market Guide for Data Masking to familiarize data pros with the available technologies and latest use cases.

Data Masking

December 6, 2023

Open-Source Data Masking Tools: Can You Afford to Go Cheap?

Study the benefits and risks of open-source data masking tools vs commercial solutions for both static and dynamic data masking.

Data Masking

December 3, 2023

Top Test Data Management Trends for 2025

Discover the top 7 test data management trends for 2025, and how a business entity approach to test data management can leverage them quickly and easily.

Test Data Management

November 29, 2023

Synthetic Data Tools via Data Products are a Win-Win for Enterprises

Learn how a data product approach enables all synthetic data generation methods and use case examples with just 1 set of self-service synthetic data tools.

Synthetic Data Generation

November 28, 2023

Data Mesh Data Product Platform

A data mesh data product is an autonomous, standardized data unit that includes datasets, metadata, code assets, and policies managed by a dedicated owner.

Data Products

November 27, 2023

Test Data Integrity Ensures Superior Test Data Masking

Test data integrity ensures that the data used in testing is accurate, consistent, and reliable, to prevent errors in storage, retrieval, and processing.

Data Masking

November 27, 2023

Synthetic Data Generation Lifecycle Management: Worth the Effort

Synthetic data generation lifecycle management is the process of creating, validating, and maintaining synthetic data that's lifelike yet protects privacy.

Synthetic Data Generation

November 22, 2023

SAP Test Data Management Tools: Use Cases, Challenges and Solutions

Managing test data for SAP can be challenging. Learn about the ideal test data management approach for SAP systems.

Test Data Management

November 21, 2023

Test Data Management Tools Comparison: A Market Breakdown

This test data management tools comparison overviews the companies and software platforms available on the market and examines the pros and cons for each.

Test Data Management

November 21, 2023

Test Data Management Tools List for 2025

Looking for a test data management tool to accelerate software delivery? This list offers an overview of the different solutions available on the market.

Test Data Management

November 15, 2023

Test Data Management Tools: Gartner Insights

Here’s a free executive summary of Gartner’s latest report on Test Data Management (TDM) for Software Engineering.

Test Data Management

November 2, 2023

Free Test Data Management Tools? NOT!

While there are free tools that perform certain functions of test data management (masking and synthetic data generation), there are no free TDM tools.

Test Data Management

November 1, 2023

Open-Source Tools: NOT for Enterprises

Thinking of using an open-source tool? Think again. Here’s why open source isn’t a viable option for enterprise-grade test data management.

Test Data Management

October 24, 2023

K2view a Leader in the 2023 SPARK Matrix for Data Masking Tools

Quadrant Knowledge Solutions announced today that it has named K2view as a 2023 technology leader in the SPARK Matrix: Data Masking, 2023.

Data Masking

October 22, 2023

Test Data Provisioning: DIY via Test Data Products

Learn about a revolutionary way to provision test data that’s impacting how enterprises structure their dev/QA teams and totally changing how testers work.

Test Data Management

October 17, 2023

Top Test Data Management Tools in 2025

The top test data management tool automates test data delivery in complex environments, by combining a business entity approach with Micro-Database technology.

Test Data Management

October 12, 2023

Synthetic Data Use Cases for Every Company

Learn why and how synthetic data is a game changer in the realms of software application development and ML model training in practically every industry.

Synthetic Data Generation

October 9, 2023

Synthetic Test Data Generation: Scalable, Reliable, and Powerful

Discover why enterprises rely on synthetic test data generation to test their applications – at lower risk and higher scale – without endangering privacy.

Synthetic Data Generation

September 26, 2023

Fake Data + (Masked) Real Data = Best Test Data

Discover why combining fake data with masked real data leads to the most effective data for testing enterprise software quickly, safely, and at scale.

Synthetic Data Generation

September 14, 2023

Data Subsetting Optimizes Software Testing

Learn why software developers prefer smaller, more representative subsets of data for testing, validating, and preparing applications for production use.

Test Data Management

September 13, 2023

Synthetic Data Examples that’ll Knock Your SOX Off

There’s a lot to learn from real-world synthetic data examples in highly regulated industries like financial services, healthcare, retail, and e-commerce.

Synthetic Data Generation

September 10, 2023

Synthetic Data Solutions Power Data-Driven Innovation

Learn how to realize the full potential of your data – while safeguarding individual privacy and maximizing data security – with synthetic data solutions.

Synthetic Data Generation

September 5, 2023

What is Test Data Automation?

Test data automation is the process of automatically delivering test data to lower environments, as requested by software and quality engineering teams.

Test Data Management

September 4, 2023

How to Choose the Right Synthetic Data Company

With so many synthetic data companies on the market, this guide will help you understand which factors to consider and prioritize when choosing a partner.

Synthetic Data Generation

August 29, 2023

Why Companies Generate Synthetic Data

Companies generate synthetic data as a fast, scalable way to test software and train ML models without compromising user privacy. But that’s not all…

Synthetic Data Generation

August 17, 2023

Synthetic Data in Healthcare: Critical Care for Patient Privacy

Learn how synthetic data in healthcare lets medical practitioners share data on clinical trials and drug development without revealing patient identities.

Synthetic Data Generation

August 14, 2023

Synthetic Financial Data: Risk-Free Economic Insights

Financial analysts walk a legal tightrope when researching and testing real data. That’s where synthetic financial data comes in. Read on to learn more.

Synthetic Data Generation

August 7, 2023

Generative AI Synthetic Data Techniques: Leverage the Power

Learn why synthetic data based on generative AI is a safe efficient alternative to real-life data that's revolutionizing how we provide risk-free insights.

Synthetic Data Generation

July 31, 2023

How to Create Synthetic Data

Learn how to create synthetic data, which mimics the structure and characteristics of real-life data to protect Personally Identifiable Information (PII)....

Synthetic Data Generation

July 24, 2023

Test data management challenges: What they are and how to address them

Effectively addressing test data management challenges, improves agility, software quality, cost efficiencies, data compliance, and employee experience.

Test Data Management

July 17, 2023

Why Do Organizations Synthesize Data?

To synthesize data is to create fake data that mimics the characteristics and patterns of real information to protect the identities of the data subjects.

Synthetic Data Generation

July 10, 2023

Synthetic Patient Data: Powering Advanced Medical Research

Synthetic patient data is artificially created medical data used for research and treatment improvement efforts that doesn’t infringe on patient privacy.

Synthetic Data Generation

July 3, 2023

Data Obfuscation: What You Need to Know

Hiding in plain sight: Data obfuscation disguises sensitive data by hiding its true meaning to protect it from unauthorized access, breaches, or misuse.

Data Masking

June 29, 2023

Complying with Today’s Data Anonymization Standards

Data anonymization standards are guidelines that ensure that personal or sensitive information cannot be re-identified, to protect an individual’s privacy.

Data Masking

June 27, 2023

Top 5 Data Anonymization Companies in 2025

Data anonymization hides or removes PII from datasets to comply with privacy laws. Here’s what look out for when evaluating different vendors and tools.

Data Masking

June 26, 2023

The Best Types of Data Anonymization for My Organization

The best type of data anonymization – generalization, suppression, pseudonymization, data swapping, or perturbation – depends on the needs of the company.

Data Masking

June 18, 2023

How to Calculate Test Data Management ROI

Investing in test data management (test data creation, storage, and provisioning) delivers better quality apps, at lower cost, with quicker time to market.

Test Data Management

June 7, 2023

Pseudonymization vs Encryption: Understanding the Differences

Pseudonymization and encryption are both approved techniques for protecting data privacy, however where the former anonymizes data, the latter locks it up.

Data Masking

June 4, 2023

Data Anonymization vs Encryption: What You Need to Know

Data anonymization and encryption are 2 separate approaches to protecting personal information and complying with data privacy laws, like GDPR and CPRA.

Data Masking

June 1, 2023

Confused by De-Identification vs Pseudonymization?

Confusing de-identification with pseudonymization can put personal or sensitive data at risk, create a false sense of security, and endanger compliance.

Data Masking

May 31, 2023

Why Data Minimization is a Key Principle of Data Privacy

Data minimization is the practice of collecting and retaining only the personal or sensitive data that is deemed absolutely essential to an organization.

Data Products

May 30, 2023

Pseudonymization vs Tokenization: Benefits and Differences

Pseudonymization and tokenization are two popular, but distinct, methods of data protection that are cornerstones in any company’s data privacy toolkit.

Data Masking

May 28, 2023

What is Test Data?

Test data is a set of data used to verify that an app or system runs as expected – even under extreme conditions, such as edge cases and error scenarios.

Test Data Management

May 23, 2023

Directions for Overcoming Data Mesh Challenges

Don't be overwhelmed by data mesh implementation. Keep reading to learn why a Data Product Platform is the direct route to decentralized data management.

Data Mesh Data Products

May 17, 2023

Test Data Best Practices: Sweet 16

Test data best practices are guidelines to ensure that all generated test data is accurate, compliant, and relevant – for more effective software testing.

Test Data Management

May 14, 2023

Data Anonymization vs Data Masking: Definitions and Use Cases

Data anonymization erases classified, personal, or sensitive information from datasets, while data masking replaces confidential data with altered values.

Data Masking

May 14, 2023

Data De-Identification: What is it and Why do I Need it?

Data de-identification is a data masking method that severs the connection between data and the person associated with it, to ensure privacy compliance.

Data Masking

May 2, 2023

Do I Really Have to Anonymize Data?

Companies anonymize data to ensure that private information remains that way. How important is it to anonymize data, and what happens if you don’t?

Data Masking

May 2, 2023

Generate Fake Data to Conserve Resources and Enhance Results

Fake data – computer-generated synthetic data that emulates the characteristics of real-life datasets – ensures data privacy for testing/training purposes.

Synthetic Data Generation

April 23, 2023

The L Diversity Data Anonymization Model: Extending K Anonymity

L Diversity reduces the risk of re-identification of sensitive data by ensuring that individual records in a dataset are not too similar to each another.

Data Masking

April 18, 2023

Pseudonymization vs Anonymization: Which to Use When

Data privacy laws have made pseudonymization or anonymization a requirement for data processing, access, and security. But which is best for your needs?

Data Masking

April 18, 2023

The Advantages and Disadvantages of Pseudonymized Data

Pseudonymized data replaces PII with artificial identifiers that deter unauthorized access or disclosure. Examine the pros and cons of this technique here.

Data Masking

April 18, 2023

Re-Identification of Anonymized Data: What You Need to Know

Re-identification of anonymized data occurs when an individual can be identified by linking masked data with public records or combined personal attributes.

Data Masking

April 16, 2023

Data Anonymization Techniques: 12 Keys to Compliance

Data anonymization techniques modify data so that it can’t be linked to a specific person, while preserving its analytical and operational functionality.

Data Masking

April 13, 2023

DevOps Test Data Management: Addressing the Challenges

DevOps is associated with frequent changes to applications, tools, and technologies, making it difficult to manage test data across multiple environments....

Test Data Management

April 3, 2023

What is K Anonymity and Why Data Pros Care

K anonymity is a data anonymization technique used to protect individual privacy in a dataset, involving PII generalization, masking, or pseudonymization.

Data Masking

March 30, 2023

The Test Data Management Approach based on Business Entities

The entity-based test data management approach applies a business lens to test data, making it instantly understood and ready for use at enterprise scale.

Test Data Management

March 29, 2023

Informatica Cloud Test Data Management: Critical Concerns

Informatica released its end-of-life schedule for its on-prem TDM, leaving users with no choice but to migrate to its cloud-based solution, or find a new one....

Test Data Management

March 28, 2023

Data Masking Technology: Business Entities Take the Lead

Entity-based data masking technology allows data security teams to safeguard PII easily, while ensuring relational consistency and contextual integrity.

Data Masking

March 21, 2023

Combining Productivity with Privacy through Anonymization of Data

Anonymization of data is the process of preserving privacy by deleting or encoding identifiers that link people to their sensitive information in datasets.

Data Masking

March 21, 2023

The New K2view Logo

Our new logo reflects our disruptive data product technology, empowering enterprises to leverage their data as never before.

K2view

March 16, 2023

What is Pseudonymization?

Pseudonymization substitutes codes for personally identifiable information in a dataset, while maintaining data functionality for analytics and operations.

Data Masking

March 8, 2023

Top data anonymization tools for 2025

Data anonymization tools help organizations protect sensitive information by removing personal identifiers - without sacrificing the value of their data....

Data Anonymization

February 26, 2023

Anonymized data advantages and disadvantages

What is anonymized data, and why do enterprises require it? Learn about its key types, benefits, challenges, and a new approach based on business entities.

Data Masking

February 23, 2023

How a Synthetic Dataset Augments and Protects Data for Analytics

Huge amounts of data are often needed to train AI/ML models. A synthetic dataset is used not only to augment actual data, but also to protect data privacy.

Synthetic Data Generation

February 19, 2023

Data Masking Solutions: Choosing the Right One

With so many data masking solutions out there, it's hard to know which is best for you. Understanding the use cases, risks, and features helps you decide.

Data Masking

February 16, 2023

What is Synthetic Data?

Synthetic data is lifelike fake data used to secure personal privacy, test apps before they’re released, train ML models, and validate high-scale systems.

Synthetic Data Generation

February 8, 2023

Data Migration Testing: What You Need to Know

Data migration testing enables the successful and secure movement of data. Discover how comprehensive testing overcomes complexity and prevents disruption.

Data Migration

February 1, 2023

Data Masking Methods Matched to Use Cases

Different use cases call for different data masking methods. Learn about some of the most important data masking methods, as well as when to use each.

Data Masking

January 30, 2023

Which Data Migration Strategy is Right for Your Business?

Learn about the 6 most common types of data migration, and the advantages and disadvantages of 3 different data migration strategies, in this article.

Data Migration

January 29, 2023

Data Masking Examples from the Real World

Masking personal data is a great way to protect it, while ensuring its functionality. Learn about the most common data masking examples and use cases here.

Data Masking

January 3, 2023

What is Metadata in the Context of Data Fabric?

Metadata provides all the characteristics, properties, and context of data within a data fabric. Read on to learn how to optimize both with data products.

Data Fabric Data Products

December 29, 2022

Is a Data Product Only Relevant for Data Mesh?

If a data product is meant to democratize data, then it should be as relevant to a centralized data fabric, or data hub, as it is to a federated data mesh.

Data Mesh Data Products

December 27, 2022

How to Build a Data Migration Plan: A Step-by-Step Tutorial

A good data migration plan is key to ensuring successful migration to the cloud. Build the right plan for your organization using this comprehensive guide.

Data Migration

December 22, 2022

What is Test Data Generation?

Test data generation is the process of manually or automatically creating realistic but fake data used for testing software applications under development.

Test Data Management

December 21, 2022

Data Masking Software: What's best for You?

What are the most essential features to look for in data masking software? Read about the use cases, capabilities, vendors, and approaches to consider.

Data Masking

December 13, 2022

What is Cloud Data Migration?

What does cloud data migration mean, and what can enterprises do to enable a smooth transition from on-prem systems to the cloud? Keep reading to find out.

Data Migration

December 6, 2022

Data tokenization vs masking: Why, where, and when

Data tokenization and masking protect personal information and enable compliance. Learn where and when to employ each – and how business entities can help.

Data Masking

December 6, 2022

Masking Data: 6 Reasons Why

Masking data, the process of anonymizing personal information with non-sensitive values, is key to ensuring data security and compliancy with privacy laws.

Data Masking

December 1, 2022

Top 6 Requirements for Data Migration Software

Cloud-based digital transformation is making data migration software a key component for every enterprise. Here’s what to look for, and what to avoid.

Data Migration

November 24, 2022

Data Masking Vendors: Top Picks for 2025

With so many data masking vendors out there, finding the most appropriate one can be challenging. Here are this year's top picks and ways to evaluate them.

Data Masking

November 14, 2022

Synthetic Data Creation: 8 Must-Have Features

Learn the value of synthetic data creation, and what key features to look for when evaluating the different solutions currently available on the market.

Synthetic Data Generation

November 8, 2022

Single Customer View in 5 Steps

An integrated, single customer view continues to evade most enterprises. What is it and how can businesses achieve a 360° view of the customer in 5 steps?

Customer 360

November 2, 2022

Synthetic Test Data: Critical for Software Testing

Discover the key benefits of synthetic test data, and why it makes sense to include it among the test data management tools at your immediate disposal.

Test Data Management Synthetic Data Generation

October 23, 2022

Key Customer 360 Use Cases, and How Data Products Support Them

Post-M&A Customer 360 use cases illustrate the complex challenge of aggregating and organizing data. Read on to see how a data product approach can help.

Customer 360

October 13, 2022

Data Masking Standard – Aim for the Highest

For global enterprises, complying with privacy laws is a daunting task. Learn how to simplify compliance, by aiming for the highest data masking standard.

Data Masking

October 2, 2022

Overcoming the Challenges of Customer Data Integration

Customer data integration, the key ingredient of Customer 360, continues to evade most enterprises. Why is that, and what can be done about it? Read on to find...

Customer 360

September 19, 2022

Dynamic Data Masking: Why You Need It

Dynamic data masking is a data masking technique that limits the exposure of personal or sensitive data by anonymizing it for all non-authorized users..

Data Masking

September 13, 2022

Types of Data Masking and Key Feature Requirements – Buyer's Checklist

When evaluating a data masking tool, make sure it handles all types of data masking, and includes certain key features. Read on for the complete checklist, and...

Data Masking

September 6, 2022

Test Data Masking vs Synthetic Test Data – What’s Best, and Why

To support continuous development, most enterprises rely on test data masking. But more and more are realizing the value in synthetic test data. Learn why.

Data Masking Synthetic Data Generation

August 30, 2022

Customer Data Management Platform: 3 Keys to Getting it Right

A customer data management platform is a software solution that provides you with a 360° view of your customers and their needs. Here are 3 CDM must-haves.

Customer 360

August 24, 2022

Data Masking vs Encryption: What You Need to Know

Data masking vs encryption: Here’s a rundown on how they both work, what they’re used for, and how to determine the best solution for your business.

Data Masking

July 31, 2022

Data-Driven Personalization – Not Sorry to Make This Personal

Intrusive or not, today’s consumers are more accepting of data-driven personalization. With Customer 360 based on data products, enterprises deliver a more...

Customer 360

July 20, 2022

Data Masking Techniques: Which Suit You?

For many companies, data masking is the best way to ensure data security and compliance, but which techniques are best for your business?

Data Masking

July 19, 2022

What is Customer 360? The Guide to Customer 360 Success

This guide covers the market drivers and benefits of Customer 360, the shortcomings of traditional Customer 360 solutions, and introduces a unique...

Customer 360 Data Products

July 10, 2022

Data Masking Best Practices

Assure data protection with 5 data masking best practices: Identify PII, choose the right technique, test it, secure it, and ensure relational integrity. Table...

Data Masking

June 27, 2022

Data masking vs tokenization: Where and when to use which

Data masking and tokenization are used to protect sensitive data. Discover where and when to use each – and how a business entity approach optimizes both....

Data Masking

June 13, 2022

Data tokenization solutions: Reducing cybersecurity risk

Learn why data tokenization is a top data protection method, and how a business entity approach optimizes its impact, in this webinar synopsis.

Data Masking

June 12, 2022

Data Mesh Use Cases: Global Data Unification and Residency Compliance

Read these data mesh use cases, to learn how a novel data product approach unifies globally dispersed data, while fulfilling data residency requirements.

Data Mesh Data Products

June 9, 2022

Data Mesh Vendors and Buyers Guide

Data mesh is the go-to architecture for distributed data management platforms and systems. Read this guide before selecting a data mesh vendor for your...

Data Mesh

May 18, 2022

Accenture’s Teresa Tung on Operational Data Products in a Data Mesh

We had the pleasure of interviewing Teresa Tung, Accenture Cloud First Chief Technologist, about operational data products in a data mesh. Read on to learn how...

Data Mesh Data Products

May 17, 2022

Why Data Mesh is a Must for Federated Data Management

Federated data management is an emerging approach employed by enterprises to improve business outcomes. Read on to learn how it works, and why it works best on...

Data Mesh

May 10, 2022

Data Mesh Principles: Optimizing the 4 Pillars with a 5th

BeyondData mesh principles are concepts including decentralized data ownership, data products, self-service provisioning and federated governance. Here's 1...

Data Mesh

April 14, 2022

Data Mesh vs Data Lake – What Every Data-Driven Business Should Know

Data mesh and data lakes are 2 of today’s hottest topics in data management. How do they differ, and how can they work together? Keep reading to find out.

Data Mesh

April 5, 2022

What is Reverse ETL?

Although data warehouses and lakes are often associated with offline analytics, Reverse ETL can operationalize actionable insights to make a direct and ongoing...

Data Products

March 30, 2022

Data Product Platform Delivers Real-Time Performance at Massive Scale

Today we launched the market’s first Data Product Platform, deployable as data mesh, data fabric, or data hub – in the cloud, on premises, or across hybrid...

Data Products

March 24, 2022

Tokenization of data and its connection to business entities

The tokenization of data replaces personally identifiable information with a valueless equivalent that safely enables compliant testing and development.

Data Masking

March 9, 2022

What is Tokenization? The Complete Playbook

Protecting sensitive data is a top priority for the enterprise. Data tokenization is one of the best data protection methods – and a data product approach...

February 17, 2022

What is Data Virtualization, and Why are Data Products a Game-Changer?

Data virtualization offers new levels of access, speed, and efficiency when integrating data across disparate systems. Read on to learn how a data product...

Data Products

February 9, 2022

What is a Data Product Manager?

To overcome the disconnect between business and IT, enterprises need to employ Data Product Managers – and a data management platform based on real-time data...

Data Products

January 27, 2022

iPaaS: A Better Approach to the Cloud Data Pipeline

With the rising need for self-service data integration, enterprises require a more effective cloud data pipeline solution. iPaaS, based on data products, is...

Data Products

January 25, 2022

What is Cloud Data Integration? A Practical Guide

This article explains "What is Cloud Data Integration?" and goes on to discuss its benefits, challenges, requirements, and a novel Enterprise iPaaS Platform...

Data Products

January 20, 2022

What is tokenization and how to choose the right solution

Tokenization replaces sensitive data with unique identification symbols that retain the basic information about the data without compromising its security..

Data Masking

January 16, 2022

Why Gartner Named Data Fabric the #1 Strategic Technology Trend for 2022

The top technology trend for 2022 is Data Fabric. A successful Data Fabric architecture is based on Data Products. Make the connection by reading this article.

Data Fabric

January 13, 2022

Here’s What a Fast, Accurate Cloud Integration Platform Looks Like

As enterprises expand to the cloud, the need for a cloud integration platform is clear. But not all solutions deliver the speed and precision you require.

Data Products

January 9, 2022

iPaaS – The Express Lane to Cloud Integration Services

Cloud integration services are revolutionizing the way enterprises approach data, security, and business insights. Read about the drivers, benefits, and...

Data Products

January 5, 2022

Data tokenization software protects PII and other sensitive data

Data tokenization software replaces sensitive data with a non-sensitive equivalent, or token, and may enable storage of the original data in a token vault.

Data Masking

December 27, 2021

What is Dark Data and How Do Data Products Shed Light on it?

Today’s enterprises strive to be “data-driven”, but can’t access a good part of their potentially valuable data. Data products get business-critical data out...

Data Products

December 19, 2021

Wanted for Legacy Application Modernization Services: Test Data

Legacy application modernization services replace outdated software systems with modern solutions to enhance functionality, maintainability, and usability.

Test Data Management

December 16, 2021

Test Data Management Benefits from a Business Entity Approach

Before an app can be released, it needs to be tested across its development cycle using realistic test data. Learn why a business entity approach is best.

Test Data Management

December 15, 2021

Data as a Product: The Approach that Democratizes Data Access

Data as a product, a core principle of the data mesh model, realizes its full potential in a generative data product platform. Learn what, why, and how.

Data Mesh Data Products

December 12, 2021

iPaaS Vendors and Market Guide

Today’s enterprises are highly focused on data integration, with the global iPaaS market expected to reach $10 billion by 2025, with a 5-year CAGR of more than...

iPaaS

November 21, 2021

What is Data Mesh? A Market Primer

This paper addresses the why, what, and how of data mesh, including the market need, a detailed description of data mesh architecture, and look at its core...

Data Mesh Data Products

November 17, 2021

Data Fabric vs Data Mesh: Demystifying the Differences

Compare the architectures of data fabric vs data mesh, and learn how both approaches can be fused to create a versatile data management stack. Read on.

Data Fabric Data Mesh Data Products

November 14, 2021

What Every Enterprise Should Know about Today’s iPaaS Solutions

What should enterprises be looking for, among the various iPaaS solutions available today?

Data Products

November 10, 2021

K2view Certified as a Telco Connector on the MuleSoft Anypoint Exchange

Telcos can now use the K2View BSS/OSS Connector on the Mulesoft Anypoint platform to liberate, integrate, and pipeline their data into Salesforce.

K2view

November 3, 2021

What is Enterprise iPaaS and Why is it Necessary?

If you’re considering an Integration Platform as a Service for your enterprise, keep the following challenges and requirements in mind.

Data Products

October 24, 2021

Building a Data Pipeline Architecture for the Enterprise

Building an effective data pipeline architecture is challenging, especially when enterprise requirements – like scale, speed, and security – are taken into...

Data Products

October 19, 2021

What is iPaaS? A Comprehensive Guide

This paper answers the question, “What is iPaaS?” by presenting a comprehensive guide to data “integration platform as a service” solutions.

Data Fabric iPaaS

October 7, 2021

What are ETL Tools? Advantages, Disadvantages and Innovations Revealed

Find out how the ETL method of data integration enhances enterprise data pipelines, and how eETL overcomes the most difficult challenges. Learn more here....

Data Products

September 17, 2021

4 Key iPaaS Integration Guidelines

This article examines the 4 key guidelines that enterprises should follow when evaluating iPaaS integration solutions. Continue reading to learn more.

Data Products

August 31, 2021

Accelerate Software Delivery Cycles Using 7 Test Data Management Best Practices

Test data management best practices assure thorough testing, guard sensitive data, comply with regulations, improve test results, and reduce testing costs.

Test Data Management

August 25, 2021

What is a Data Fabric? The Complete Guide

This paper addresses the what, why, how, and who of data fabric, including data fabric architecture, challenges, benefits, core capabilities, vendors, and...

Data Fabric

August 19, 2021

Avoid Data Lake Failures with Data Quality Management Best Practices

The growing dependence on big data is often met with statistics showing that many data lake projects fail because they did not adhere to data quality...

Data Products

August 17, 2021

Data Fabric, Data Literacy, and the Quest for a Common Language

A core value of modern data fabric design is a common language between IT and business, providing for data literacy across the enterprise – and, ultimately,...

Data Fabric

August 12, 2021

Building Data Pipelines: Capabilities, Benefits, and Challenges

What are the challenges and benefits of building data pipelines? This article examines all the requirements, and a data product approach that has them all.

Data Products

August 10, 2021

Continuous Testing: What Makes it so Important and Challenging

Continuous testing is a process that tests applications under development continuously and automatically, throughout the software development lifecycle.

Test Data Management

August 5, 2021

Data Integration with Data Products Optimizes your Data Pipeline

More than 80% of enterprises consider data integration a critical component in their ongoing business operations, so choosing the right way to integrate data...

Data Products

July 27, 2021

ETL vs ELT vs eETL

What’s the difference between ETL vs ELT – and how does the new approach, “entity-based ETL” (eETL), effectively address their shortcomings?

July 20, 2021

Automated Data Preparation – 4 Issues and 4 Answers

Today’s “automated data preparation” tools aren’t really automated. This article discusses 4 key challenges on the road to automation, and 4 ways to overcome...

Data Products

July 19, 2021

Moving from an Oil-Driven to a Data-Driven Economy

Originally published on eWeek. In 2022, Amazon will become the largest company in the world based on revenue. When that happens, you could say that the world...

K2view

July 8, 2021

Data Fabric – Connecting Siloed Systems and Retiring Legacy Ones

Siloed systems impede enterprise data management. An operational data fabric is the best way to stitch current siloed systems together, and retire legacy ones.

Data Fabric

July 8, 2021

Test Data Preparation Tools: 5 Must-Have Features

Test data preparation tools generate and manage test data for validating the functionality, performance, and security of applications under development.

Test Data Management

June 23, 2021

7 Data Preparation Steps to Cleaner Data Lakes

The data preparation process is critical, due to the importance of maintaining clean, high-quality data for operational and analytical workloads. Here are 7...

Data Products

June 20, 2021

Your Data Preparation Process Needs Data Fabric, Not Standalone Tools

For your data preparation process, use a data fabric architecture on a Data Product Platform, instead of an assortment of standalone tools.

Data Fabric

June 20, 2021

Prepare Yourself: What is Data Preparation?

Theoretically, data preparation is the process of exploring, combining, cleaning, and transforming raw data into curated datasets for data integration, data...

Data Products

June 8, 2021

Top 5 Drivers of Enterprise Data Governance

Enterprise data governance should not be taken lightly. Multiple market trends are driving companies to make data governance a top business imperative

Data Products

May 31, 2021

Test Data Management Strategy in 6 Steps

An on-demand test data management strategy doesn’t just happen. Follow 6 key steps to ensure trusted test data is always accessible to your testing teams.

Test Data Management

May 26, 2021

K2view: The enterprise data connector for Salesforce

K2view is now an official, certified enterprise data connector for Salesforce, and is now published on the Salesforce AppExchange.

K2view

May 24, 2021

What is Test Data Management? Learn what TDM is all about!

To enable quick and accurate delivery of applications, software teams need on-demand access to the right testing data. Test Data Management (TDM) is the...

Test Data Management

May 20, 2021

The Importance of Data Governance for Sustained Compliance

We all agree that there is value in data. Just look at the 40% year-over-year growth in the amount of data we collect and utilize. To those of us focused on...

Data Products

May 13, 2021

Data Delivers: 5 Key Benefits of Data Governance

When properly managed, data can bring many valuable insights and business opportunities. According to McKinsey, data governance enables companies to...

Data Products

May 11, 2021

Weaving Core Data Fabric Features into our Data Product Platform

Today we announced new core data fabric features associated with our Data Product Platform, to support high-scale operational uses cases in the enterprise.

Data Fabric Data Products

May 10, 2021

Your shift-left testing approach requires shift-left data provisioning

Shift-left testing refers to testing earlier on in the software development lifecycle to find and fix bugs, improve app quality, and reduce DevOps costs.

Test Data Management

May 6, 2021

Data Migration Considerations from the Trenches

After managing many complex digital transformations and migrations, for some of the world’s largest companies, I’d love to share some key data migration...

Data Migration

May 4, 2021

Importance of Test Data Management in Accelerating Agile Development

Test data management is important to agile development in ensuring test accuracy and reliability, thus enhancing the effectiveness of the testing process.

Test Data Management

April 27, 2021

Data Fabric vs Data Lake vs Database

This article will focus on which data store is best for real-time, massive-scale, hyper-speed operational use cases – Data Product Platform, as a data fabric...

Data Fabric Data Products

April 24, 2021

4 Factors Influencing Data Privacy Trends

When we think about data privacy trends, many of us immediately focus on the regulations that are already in place. While existing laws continue to evolve at a...

April 19, 2021

Choose the Best Data Integration Platform for Analytics and Operations

Searching for the right data integration tool? Look for the one that can support both offline big data analytics, and online operational intelligence.

Data Products

April 14, 2021

The Right to be Forgotten - What Makes it Tough?

We all know that data is the new oil. That is why the GDPR right to be forgotten, also known as the right to erasure, is essential. And, tough in multiple ways.

April 8, 2021

How to Simplify Data Subject Access Request Processing

The short answer is: Automate. To find out about the 10 steps of processing a data subject access request, and, what you should automate, read the long answer.

March 25, 2021

VCDPA compliance following on the heels of GDPR & CCPA compliance laws

After Europe’s GDPR and California’s CCPA, the latest data privacy law comes from none other than Virginia. In a unanimous voice, Virginia’s Senate passed the...

March 17, 2021

We have a new View for K2View.com

New K2View logo and website Companies operate “under the radar”, or “in stealth mode”, as they wait for product readiness, first orders, revenue milestones, or...

In the News

March 16, 2021

The K2View on "What is data fabric?"

What do the analysts say? Forrester defines data fabric as a platform for “orchestrating disparate data sources intelligently and securely in a self-service...

In the News Data Fabric

March 11, 2021

The market was asking for privacy – and we listened

Every so often, you get lucky, and the problem comes to you. And this is one of those times. Our world is full of problems looking for solutions and then,...

In the News

February 25, 2021

The 7 Sins of Manual DSAR Processing

In our previous post, we discussed the data challenges that typically accompany the Right to Access Data. Now, it’s time to dive into the specific...

February 15, 2021

How data compliance software lets consumers access their data

One of the primary rights highlighted by privacy regulations, like GDPR and CCPA, is the right to access data. This right, which is detailed in Article 15 of...

February 9, 2021

GDPR compliance software: What is it, why you need it, and what to look for

Since GDPR became part of our world, it has influenced data-related practices within and outside of Europe. When the law passed in 2016, companies worldwide...

February 1, 2021

7 Privacy by Design Principles + 1 Technology to Comply with Them All

When GDPR came into force in 2018, it introduced a set of data privacy requirements that transformed how companies track and analyze user activity, communicate...

January 26, 2021

Does Your CCPA Compliance Mean CPRA Compliance is Automatic?

Depending on the type of data privacy management solutions your organization used to comply with California Consumer Privacy Act (CCPA), which went into effect...

January 19, 2021

What Is Data Processing and How Does it Affect Consumers’ Privacy Rights?

We often think of legislation as a slow and tedious process, believing that it takes time to implement even the slightest changes. Perhaps that’s why the pace...

January 5, 2021

7 Critical Requirements of Enterprise Data Privacy Management

Recently, we discussed why keeping up with the explosion of data privacy regulations and data privacy compliance necessitates a fundamentally new approach to...

December 2, 2020

A Year in Review of CCPA: Data Privacy Today and Tomorrow

In 2018, the California State Legislature signed the toughest data privacy law in America to date. What started as a ballot initiative, became a disruptive new...

August 11, 2020

New Funding Shows Industry Confidence in K2View’s DataOps Solutions

By Achi Rotem, CEO & Co-Founder Today we were happy to announce that for the first time in our history, K2View has raised a combined $28 million in capital...

In the News

June 19, 2020

Why the Growth of Data Privacy Mandates Demands a Different Approach

When we think of data privacy regulations and how they affect today’s organizations, most people first think of GDPR—the European Union’s General Data...

June 9, 2020

New in Fabric 6.1 and TDM 6.1

April and May have been productive months here at K2View. Both Fabric 6.1 and TDM 6.1 were released. In addition to minor fixes, there are several changes to...

K2view Data Fabric

June 4, 2020

Solving the Test Data Management Problem

Entity-based test data management tools allow for a 360-degree view of all data, increased security, and the ability to correct errors during test cycles.

Test Data Management

June 2, 2020

K2View Q&A Series: What is DataOps?

This week we had a chance to speak with Dominic Garcia, K2View's Head of Marketing, on DataOps. In the video, we discussed the innovation of DataOps, as well...

K2view

May 27, 2020

A Tale of Two Breaches: Understanding K2View’s New Encryption Patent

Most organizations that take a modern approach to cybersecurity embrace the “assume you’ve been breached” mindset. This thought process is helpful as you think...

K2view

May 19, 2020

K2View CEO on COVID, Innovation, and the Future of Data Management

Dominic Garcia, Head of Marketing at K2View, recently had an opportunity to sit down with Steve Kostyshen, K2View's CEO, and discuss the impacts of COVID-19...

K2view

November 22, 2019

K2View Named #20 in 2019 Dallas 100

Last night, K2View had the distinct pleasure of being honored at a reception for our spot on the Dallas 100 – a list of the top 100 fastest private growing...

K2view

October 1, 2019

K2View Fabric Wins 451 Firestarter Award

This week, K2View Fabric was awarded the 451 Firestarter Award in Invisible Infrastructure for “tackling the challenge of real-time data integration and...

K2view Data Fabric

August 29, 2019

K2View: A Story of Technology Before Hype

by Dominic Garcia, K2View Head of Marketing There’s been a little bit of buzz around K2View over the last few weeks. You may have seen our announcements...

K2view

July 25, 2019

A Single Patent Heralds a Fundamental Shift in Data Management

by Achi Rotem, K2View CTO If we had it to do all over again, we’d never architect enterprise systems the way we did 20, 10, or even five years ago, especially...

K2view

February 22, 2018

Synchronoss taps K2View to enable SmartCity solutions in alliance with AT&T

Synchronoss Joins AT&T Smart Cities Strategic Alliance

K2view

November 3, 2017

Cellcom Deploys Customer 360 for an Advanced Cloud-Based CRM Solution

Israel – July 25, 2017 – Cellcom Israel Ltd., (TASE: CEL, NYSE: CEL) the largest cellular operator in Israel, today announced that K2View,inc., a leading...

K2view

October 9, 2017

K2View Fabric demonstrated with Vlocity at Dreamforce.

K2View today announced plans for participation at Dreamforce, the annual Salesforce customer event on November 6 – 9 in San Francisco. Dreamforce is the...

K2view

October 9, 2017

K2View participating at The CIO Insight Summit.

K2View today announced plans for participation at The CIO Insight Summit, a GDS Summits event on November 15 – 17 at the Resort at Pelican Hill in California....

K2view

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