By 2023, organizations using data fabrics to dynamically connect, optimize and automate data management processes will reduce time to integrated data delivery by 30%. (Source: Gartner).
A Data Fabric is an architectural concept that provides the ability to manage, govern and secure your corporate data assets. The fabric will assign a single data taxonomy that will classify and tag your data to allow for higher levels of automation of data pipelines and enable you to apply data quality rules holistically for the enterprise and create a universal security policy. The Data Fabric helps bring transactional and analytical worlds closer opening up new opportunities and faster responses. It can solve data and insights challenges by providing Data Virtualization, event streaming, application integration, and real-time analytics that run even when data is on the move.
So, how do you get there?
-What is your approach to use legacy data technologies in cloud environments?
-How do you access, govern and secure data regardless of where it is stored today?
-How do you evolve enterprise data capabilities for real-time analytics and AI?
-How does the use of a data fabric compare to legacy architectures?
-How exactly does a data fabric enable users to better accomplish their tasks?
Hear from Anup Kumar, Chief Architect, Data & AI, IBM Asia Pacific as he beautifully explains all of the above mentioned points with a useful demo, only on @CXOTV news
