Data products, data mesh and the data fabric

Why are data products important? Why is the data mesh the next evolution of data engineering paradigms? What is the data fabric?

Data products are end-to-end solutions that use data to solve specific business problems or meet specific customer needs. For example, a retailer could use customer purchase history to build a personalized recommendation engine, or a financial institution could use transaction data to detect fraud. By packaging data into usable and scalable products, organizations can extract more value from their data and gain a competitive edge in the market.

The data mesh is the next evolution of data engineering paradigms because it provides a new approach to data management that addresses the challenges faced by modern organizations. With the traditional monolithic data architecture, it’s difficult to manage data at scale and ensure that it’s accessible to the people and systems that need it. The data mesh solves these problems by breaking down the monolithic architecture into a network of decentralized data services that are owned and managed by teams across the organization. This allows organizations to move faster, make better use of their data, and achieve greater agility.

The data fabric is the underlying infrastructure that supports the data mesh. It provides the necessary infrastructure and tools to manage data at scale, including data storage, data processing, and data management. The data fabric provides a common foundation for building and operating data products, making it easier for organizations to share data and build new solutions on top of existing data.

We discuss this and more with Jon Cooke, a data products specialist!