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AWS re:Invent 2019: Migrating Apache Spark and Hive from on-premises to Amazon EMR (ANT327-R1)
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In this session, you hear from representatives of Intuit about how they migrated the company’s analytics, data processing (ETL), and data science workloads running on Apache Hive and Spark to Amazon EMR to reduce costs, increase availability, and improve performance. This session focuses on key motivations and the benefits of a move to the cloud and also gives details of key architectural changes and best practices.
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AWS re:Invent 2019: Automate everything: Options and best practices (MGT304)
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AWS re:Invent 2019: [REPEAT 2] I didn’t know Amazon API Gateway did that (SVS212-R2)
AWS re:Invent 2019: [REPEAT 1] Best practices for AWS Lambda and Java (SVS403-R1)
AWS re:Invent 2019: [REPEAT 1] Building a streaming data platform with Amazon Kinesis (ANT326-R1)
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AWS re:Invent 2019: [REPEAT 1] Building microservices with AWS Lambda (SVS343-R1)
AWS re:Invent 2019: [REPEAT 3] Serverless architectural patterns and best practices (ARC307-R3)
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AWS re:Invent 2019: [REPEAT 1] Best practices for authoring AWS CloudFormation (DOP302-R1)
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AWS re:Invent 2019: [REPEAT 1] Getting started with AWS identity (SEC209-R1)
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