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K2view Shines as Visionary in 2024 Gartner Magic Quadrant for Data Integration Tools
K2view Finds that Just 2% of U.S. and UK Businesses are Ready for GenAI Deployment
K2view Launches New Synthetic Data Management Solution
K2view a Leader in the 2023 SPARK Matrix for Data Masking Tools
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AI 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.
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RAG
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Data Pipeline
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.
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: How Can I Help You Today?
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.
RAG
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 a 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 Spotlights Privacy and Quality
The emergence of AI brings 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 to Overcoming Them
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 Your LLM Directly to Your Source Systems!
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
What is an AI Database Schema Generator and Why is it Critical for Your LLM
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
AI Data Quality: The Race is On
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: Is Your Enterprise Data Ready for Generative AI?
What’s keeping you from realizing the full potential of generative AI? Your data believe it or not! Learn how to turn your enterprise data into GenAI data.
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.
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
Imagine users receiving fresh accurate info all the time. Retrieval-augmented generation optimizes conversational AI by injecting LLMs with enterprise data.
RAG
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 Even 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 AI-powered apps that combine retrieval and generation models to provide more accurate and relevant responses than traditional chatbots.
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: This Year's Picks
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
How to Address Your Test Data Management Challenges
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 Anonymization
June 27, 2023
Top 5 Data Anonymization Companies in 2024
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 Anonymization
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 Anonymization
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 Anonymization
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 Anonymization
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 Anonymization
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 Tokenization
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
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 Anonymization
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 Anonymization
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 Anonymization
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 Anonymization
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 Anonymization
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 Anonymization
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 Anonymization
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 Anonymization
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 Anonymization
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 Anonymization
March 8, 2023
Top Data Anonymization Tools for 2025
Data anonymization tools safeguard the privacy of a dataset’s subjects. Select the best tool for your organization according on your data anonymization use...
Data Anonymization
February 26, 2023
Advantages and Disadvantages of Anonymized Data
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 Anonymization
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
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
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 Tokenization
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 in the industry, finding the right one for your company can be challenging. Here’s what to look for in your evaluations.
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
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
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
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 Tokenization
June 13, 2022
Data Tokenization Solutions: Reducing Cybersecurity Risk
Learn why data tokenization is a top data compliance/protection method, and how a business entity approach optimizes its impact, in this webinar synopsis.
Data Tokenization
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
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
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 Pipelining
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, Business Entities, and How They're Connected
The tokenization of data replaces personally identifiable information with a valueless equivalent that safely enables compliant testing and development.
Data Tokenization
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...
Data Tokenization
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 Pipelining
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...
iPaaS
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 Tokenization
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.
iPaaS
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...
iPaaS
January 5, 2022
Data Tokenization Software: Don't Gamble with Sensitive Data Security
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 Tokenization
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
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
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
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?
iPaaS
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.
Corporate
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.
iPaaS
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 Pipelining
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
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 Pipelining
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.
iPaaS
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 Pipelining
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 Pipeline
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 Pipelining
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?
Data Pipelining
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 Pipelining
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...
Corporate
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 Pipelining
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 Pipelining
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
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.
Corporate
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...
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...
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
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
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 Integration
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
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
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
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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