Data fabric is a comb ination of architecture and technology designed to streamline the complexit ies of managing different kinds of data, using multiple DBMSs, and deployed across multiple platforms. A typical data management organization has data deployed in on-premises data centers and multiple cloud environments. They have data in flat files, tagged files, relational databases, NoSQL databas es, with processing that spans from batch ETL to stream processing. The var iety of tools, technologies, platforms, and data types makes it difficult t o manage processing, access, for security, and integration. Data fabric pro vides a consolidated data management platform. It is a single platform to m anage disparate data and divergent technologies deployed across multiple da ta centers, both cloud and on-premises.
\nThe complexities expand as new technologies, new kinds of data, and new platforms are introduced. As d ata distribution across multiple platforms increases, the work of moving, s toring, protecting, and accessing data becomes fragmented. Adapting data ma nagement methods with each shift is disruptive, and quickly becomes unsusta inable as technology innovations accelerate. Data fabric minimizes disrupti on with a highly adaptable data management environment that quickly adjusts to changes.
\nYou will learn:
\n\n What is data fabric and why it is important\n Why organizations need data fabric\n How data fabric extends and complements existing data management architectu re\n Functions and features of data fabric technologies\n The current state of data fabric technologies\n What the future holds as data fabric technologies evolve\n\n DTSTART:20200323T083000 SUMMARY:AM3: Data Fabric: Smart Data Engineering, Operations, and Orchestra tion DTEND:20200323T114459 LOCATION: See Description END:VEVENT END:VCALENDAR