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DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10434\n<p>Amazon treats data as
  an asset. It always looks for&nbsp;ways to improve existing analytics solu
 tions and extract information from terabytes of data.</p>\n<p>One of the re
 cent initiatives was the migration from legacy DW platform to the AWS Platf
 orm. During this journey, our data engineers met lots of challenges&nbsp;an
 d sometimes tried to reinvent the wheel.</p>\n<p>This talk will cover our j
 ourney towards Modern Cloud Analytics&nbsp;Solutions. Moreover, we will cov
 er the ETL tool selection process for the Cloud as well as the adoption pro
 cess for the end users.&nbsp;</p>\n<p>Finally, I will cover Big Data use ca
 se using EMR and Spark as well as setting Data Lake.</p>\n<p>This talk will
  help you understand the potential of Cloud Analytics and learn about our u
 se case and save time for the future projects.</p>\n<p>Key takeaways:</p>\n
 <ol>\n	Importance of Data\n
 Data Warehouse Migration to the Cloud (Why and How)\n
 Choosing ETL tool for 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	Redshift Challenges\n
 Modern Organization use cases and challenges\n
 AWS Solution price examples\n
 Free learning resources for Cloud Analytics\n</ol>\n
DTSTART:20190319T154500
SUMMARY:Building a Modern Data Warehouse with AWS
DTEND:20190319T164459
LOCATION: See Description
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