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DTSTAMP:20260519T192528Z
DESCRIPTION:Click for Latest Location Information: http://edw2020chicago.da
 taversity.net/sessionPop.cfm?confid=143&proposalid=12378\nWith the rise of 
 Cloud Computing and Analytics, organizations have almost unlimited cap
 abilities to become data-driven organizations. However, it is not so easy f
 or organizations with legacy technology stack. During this talk, Dmitry&nbs
 p;will cover the journey of Data Warehouse migration projects from an on-pr
 emise solution to AWS. Moreover, we will cover the ETL tool selection proce
 ss for the Cloud DW, as well as the adoption process for end users. Dmitry&
 nbsp;will also talk about extending the traditional Data Warehouse for
  Big Data use cases using EMR and Spark, as well as setting up a Data 
 Lake. The talk will cover alternatives for Data Warehouse solutions as
  well.\nThis talk will help you understand the potential of Cloud Analytics
  and learn about our use case as well as save time for future projects
 .\nKey takeaways:\n\n	Cloud Analytics foundation\n
 Data Warehouse migration to the cloud (why and how)\n
 Choosing an ETL tool for the cloud environment\n
 Extending DW with Big Data solution with Hadoop and Spark (why and how)\n
 Deploy serverless Data Lake (why and how)\n\n
DTSTART:20201021T103000
SUMMARY:Data Warehouse Modernization with AWS
DTEND:20201021T111959
LOCATION: See Description
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