Learn how to architect and build a data lake solution, and how to integrate key AWS services, including Amazon S3, AWS Glue, Amazon Athena, Amazon Redshift Spectrum and Amazon QuickSight.
Using a typical customer case study, we will deep-dive on the best practices for architecting your storage layer on S3 and using Glue to crawl the data and create a data catalog. We will also look at how to create interactive queries with Athena, and foster data-driven decisions in your organisations with dashboards and analytics delivered with QuickSight. At the end of the session, you will have the skills you need to successfully create and deploy a modern data architecture and data lake on AWS.
This session was presented in Australia & New Zealand in August 2018
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