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DTSTAMP:20260511T062533Z
DESCRIPTION:Click for Latest Location Information: http://edw2020.dataversi
 ty.net/sessionPop.cfm?confid=128&proposalid=11270\n<p>With the rise of Clou
 d Computing and Analytics, organizations have&nbsp;almost unlimited capabil
 ities to become data-driven organizations. However, it is not so easy for o
 rganizations with legacy technology stack. During this talk, Dmitry&nbsp;wi
 ll cover the journey of Data Warehouse migration projects from an on-premis
 e solution to AWS. Moreover, we will cover the ETL tool selection process f
 or the Cloud DW, as well as the adoption process for end users. Dmitry&nbsp
 ;will also talk about extending the&nbsp;traditional Data Warehouse for Big
  Data use cases using EMR and Spark, as well as setting up a&nbsp;Data Lake
 . The&nbsp;talk will cover alternatives for Data Warehouse solutions as wel
 l.</p>\n<p>This talk will help you understand the potential of Cloud Analyt
 ics and learn about our use case as well as&nbsp;save time for future proje
 cts.</p>\n<p>Key takeaways:</p>\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
DTSTART:20200325T104500
SUMMARY:Data Warehouse Modernization with AWS
DTEND:20200325T114459
LOCATION: See Description
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