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.
Head of Content, K2view
Data minimization is the practice of collecting and retaining only the personal or sensitive data that is deemed absolutely essential to an organization.
Anonymization of data is the process of preserving privacy by deleting or encoding identifiers that link people to their sensitive information in datasets.
Test data generation is the process of manually or automatically creating realistic but fake data used for testing software applications under development.
This guide covers the market drivers and benefits of Customer 360, the shortcomings of traditional Customer 360 solutions, and introduces a unique...
The tokenization of data replaces personally identifiable information with a valueless equivalent that safely enables compliant testing and development.
Tokenization replaces sensitive data with unique identification symbols that retain the basic information about the data without compromising its security..
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 tokenization software replaces sensitive data with a non-sensitive equivalent, or token, and may enable storage of the original data in a token vault.
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,...
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 is now an official, certified enterprise data connector for Salesforce, and is now published on the Salesforce AppExchange.
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 is important to agile development in ensuring test accuracy and reliability, thus enhancing the effectiveness of the testing process.