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K2VIEW BLOG

K2view Rated "Visionary" in Gartner Magic Quadrant for Data Integration Tools 2023

Gartner names K2view 1 of 3 Visionaries in its latest Magic Quadrant for Data Integration Tools.

Test Data Management
Data Masking
Synthetic Data Generation
Data Products
Data Anonymization
K2View
Data Fabric
Data Mesh
Data Pipelining
iPaaS
Data Migration
Data Tokenization
Customer 360
Corporate
Data Governance
Data Integration
Data Pipeline

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 2024

Discover the top 7 test data management trends for 2024, 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 via Data Product Platform

Discover the data product platform and the power it has to unleash the full potential of the data mesh architecture.

Data Products

November 27, 2023

Ensuring Test Data Integrity in Data Masking

Learn about the importance of test data integrity in data masking and how a data product / business entity approach optimizes this critical functionality.

Synthetic Data Generation

November 27, 2023

Mastering the Synthetic Data Generation Lifecycle

Learn about an end-to-end approach to synthetic data generation lifecycle management that takes data integration, preparation, and operations into account.

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 2024

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 Test Data Management Tools: NOT for Enterprises

Thinking of using an open-source test data management 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 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

Understanding 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 2023

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 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 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/Use Cases

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

Data Masking

May 14, 2023

What is Data De-Identification, 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

How to Choose the Right Data Anonymization Tools

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

Choosing the Right Data Masking Solution: A Requirements Guide

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 17, 2023

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

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

Matching Data Masking Methods with 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

5 Real-World Data Masking Examples

Data masking is the best way to protect personal data, while ensuring its functionality. Learn about the most common data masking examples and use cases.

Data Masking

January 5, 2023

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

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

How to Choose the Right Data Masking Software

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

Top 5 Data Masking Vendors for 2023

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

5 Steps to Building a Single Customer View

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

Aim for the Highest Data Masking Standard – Here’s How

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

What is Dynamic Data Masking, and Why You Should Care

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

Buyer’s Checklist: Types of Data Masking and Key Feature Requirements

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

Synthetic Test Data vs Test Data Masking – 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

What is a Customer Data Management Platform, and 3 Keys to Getting it Right

Enterprises use Customer Data Management to get the most out of their customer data. Be sure to check 3 things before choosing the right platform for you.

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

The 7 Most Effective Data Masking Techniques

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

Reducing Cybersecurity Risk with Data Tokenization Solutions

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

Optimizing the 4 Data Mesh Principles with a 5th

Beyond the 4 principles of data mesh, we propose a 5th – Centralized Data Control – to enable enterprises to reap the full value of data mesh. Read on. Table...

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

How to Choose the Right Data Tokenization Software

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

Democratize Data Access with a "Data as a Product" Approach

"Data as a product", a core principle of the data mesh model, realizes its full potential in Data Product Platform. Learn more in this in-depth article.

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

What Makes Continuous Testing 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

August 1, 2021

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

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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