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.
data products
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.
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.
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.
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.
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 Use Cases: Global Data Unification and Residency Compliance
For a multinational accounting firm, with over 300,000 employees, complying with global and local data regulations – while federating data ownership, office by...
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 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...
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...
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...
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...
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.
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 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.
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 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...
