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Home > AWS re:Invent 2015 > (BDT314) A Big Data & Analytics App on Amazon EMR & Amazon Redshift | AWS re:Invent 2015
Podcast: AWS re:Invent 2015
Episode:

(BDT314) A Big Data & Analytics App on Amazon EMR & Amazon Redshift | AWS re:Invent 2015

Category: Technology
Duration: 00:45:09
Publish Date: 2015-10-08 15:30:00
Description: No matter the industry, leading organizations need to closely integrate, deploy, secure, and scale diverse technologies to support workloads while containing costs. Nasdaq, Inc.-a leading provider of trading, clearing, and exchange technology-is no exception. After migrating more than 1,100 tables from a legacy data warehouse into Amazon Redshift, Nasdaq, Inc. is now implementing a fully-integrated, big data architecture that also includes Amazon S3, Amazon EMR, and Presto to securely analyze large historical data sets in a highly regulated environment. Drawing from this experience, Nasdaq, Inc. shares lessons learned and best practices for deploying a highly secure, unified, big data architecture on AWS. Attendees learn: Architectural recommendations to extend an Amazon Redshift data warehouse with Amazon EMR and Presto. Tips to migrate historical data from an on-premises solution and Amazon Redshift to Amazon S3, making it consumable. Best practices for securing critical data and applications leveraging encryption, SELinux, and VPC.
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