K2view has been recognized by CIOCoverage magazine as 1 of the top 10 data integration companies to watch in 2023. Read on to learn why.
Ian Tick
Head of Content, K2view
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.
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.
Addressing the Challenges of DevOps Testing
DevOps is associated with frequent changes to applications, tools, and technologies, making it difficult to manage test data across multiple environments....
The Entity-based Test Data Management Approach
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.
Entity-based Data Masking Technology
Entity-based data masking technology allows data security teams to safeguard PII easily, while ensuring relational consistency and contextual integrity.
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.
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.
What is Test Data Generation and Why You Should Care
Test data generation is the process of manually or automatically creating realistic but fake data used for testing software applications under development.
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...
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...
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.
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...
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..
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.
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.
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...
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.
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, 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,...
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?
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...
6 Steps to a Successful Test Data Management Strategy
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.
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.
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...
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.
