Data fabric is an emerging data management architecture trend that allows data systems to work seamlessly together using automation and allows users and systems to access data easier & faster. It basically consists of an intelligent automation layer that looks at all data, performs quality checks, enriches data about this data (which we call metadata) and links it together.
This linking of all data is done in a so-called ‘knowledge graph’ where all mutual relationships are recorded in a powerful way and new insights & data are created. This is also called activation of metadata called metadata activation. This makes it possible to quickly identify deviations in data quality. data quality detection.
Then everything comes together in an AI-powered model that further drives the data management process and makes suggestions to e.g. increase data quality or to classify certain data as (privacy) sensitive. The latter they call a “recommendation engine. Your employees are thus supported in their data management activities.
The goal of a data fabric is to create a highly automated & flexible data environment within which data analysts and data scientists have easy access to the right data they need to gain insights and make informed decisions.
Data Fabric is the #1 Data & Analytics trend of 2022 according to Gartner
Data Fabric is an emerging term recently ranked by Gartner as the #1 data & analytics trend trend. Why? It can make your data management initiatives deliver more and faster value, which will make bringing new data initiatives into production much faster. Gartner predicts up to 70% faster when an organization uses a Data Fabric.
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