AWS re:Invent 2018: Hadoop/Spark to Amazon EMR, Architect It for Security & Governance (ANT312)
Published on Nov 29, 2018
Customers are migrating their analytics, data processing (ETL), and data science workloads running on Apache Hadoop/Spark to AWS in order to save costs, increase availability, and improve performance. In this session, AWS customers Airbnb and Guardian Life discuss how they migrated their workload to Amazon EMR. This session focuses on key motivations to move to the cloud. It details key architectural changes and the benefits of migrating Hadoop/Spark workloads to the cloud. Complete Title: AWS re:Invent 2018: Migrate Your Hadoop/Spark Workload to Amazon EMR & Architect It for Security & Governance on AWS (ANT312)
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AWS re:Invent 2018: [REPEAT 1] A Deep Dive into What's New with Amazon EMR (ANT340-R1)
1:01:29
55:47
AWS re:Invent 2018: Hadoop/Spark to Amazon EMR, Architect It for Security & Governance (ANT312)
55:47
55:22
AWS re:Invent 2018: Build Data Engineering Platforms with Amazon EMR (ANT204)
55:22