It used to be a conver sation about whether cloud was right for your organization. It is. We can p ut that conversation to rest. The conversation is now about how to make the most of cloud technologies. If you still think of the cloud as virtual ser vers and storage, it’s time for an upgrade! This class walks you thro ugh the specific technologies available in the AWS data stack. We will disc uss capabilities and use cases, along with significant time spent in the AW S Management Console itself. We will start with the “classic” b ig data technologies of Redshift (petabyte DW), DynamoDB (hosted NoSQL), an d Kinesis (real-time streaming). Then we will dive into the most cutting-ed ge innovations of Lex, Glue, QuickSight, and Lambda — plus all the ne w stuff that comes out between this abstract and the Data Architecture Summ it! The goal of the class is to give you better awareness of how the cloud works and to give you the tools and confidence to explore further when you get home. Highlights:
\n\n Massively-parallel, columnar storage technology for data warehousing \ n The Smart Data Lake cloud architecture design pattern\n Handling real-time, streaming data \n Event-driven, serverless data processing capabilities \n Voice-enabled, artificial intelligence, and machine learning technologies&n bsp;\n All this, plus a real-life story of getting cloud adopted at a “never -cloud” organization!\n\nNote: This class is specifically looking at detailed capabilities in AWS due to its m arket leadership position. It is not a vendor-sponsored session, and other cloud vendors may offer similar services that are better suited to your org anization. The right way to approach this class is to learn what cloud tech nologies can do, and then take that knowledge home to inform vendor decisio ns.
\n DTSTART:20181009T133000 SUMMARY:Architecting Data Solutions on AWS DTEND:20181009T164459 LOCATION: See Description END:VEVENT END:VCALENDAR