Test Data Management
Data Anonymization
Test Data Generation
TDM ROI
Resources

K2VIEW BLOG

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

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

Ian Tick

Head of Content, K2view

Explore more content

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

May 13, 2025

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

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

Model Context Protocol (MCP)

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

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 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

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

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 28, 2023

Data Masking Technology: Business Entities Take the Lead

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

Data Masking

March 21, 2023

Combining Productivity with Privacy through Anonymization of Data

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

Data Masking

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 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

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

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

March 24, 2022

Tokenization of data and its connection to business entities

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

Data Masking

March 9, 2022

What is Tokenization? The Complete Playbook

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

January 20, 2022

What is tokenization and how to choose the right solution

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

Data Masking

January 16, 2022

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

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

Data Fabric

January 5, 2022

Data tokenization software protects PII and other sensitive data

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

Data Masking

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

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

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 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

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?

June 20, 2021

Prepare Yourself: What is Data Preparation?

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

Data Products

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 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 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

Explore More Posts

Overview

Capabilities

Architecture

Initiative

Industry

Company

Reach Out

News Updates

Education & Training

Resources

Demo

K2VIEW BLOG

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

Ian Tick

Explore more content