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DTSTAMP:20260519T190313Z
DESCRIPTION:Click for Latest Location Information: http://edw2020chicago.da
 taversity.net/sessionPop.cfm?confid=143&proposalid=12422\nData fabric is a 
 combination of architecture and technology designed to streamline the compl
 exities of managing different kinds of data, using multiple DBMSs, and depl
 oyed 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 dat
 abases, with processing that spans from batch ETL to stream processing. The
  variety of tools, technologies, platforms, and data types makes it difficu
 lt to manage processing, access, for security, and integration. Data fabric
  provides a consolidated data management platform. It is a single platform 
 to manage disparate data and divergent technologies deployed across multipl
 e data centers, both cloud and on-premises.\nThe complexities expand as new
  technologies, new kinds of data, and new platforms are introduced. As data
  distribution across multiple platforms increases, the work of moving, stor
 ing, protecting, and accessing data becomes fragmented. Adapting data manag
 ement methods with each shift is disruptive, and quickly becomes unsustaina
 ble as technology innovations accelerate. Data fabric minimizes disruption 
 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
DTSTART:20201019T083000
SUMMARY:AM3: Data Fabric: Smart Data Engineering, Operations, and Orchestra
 tion
DTEND:20201019T114459
LOCATION: See Description
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