Kinesis

Glue

Athena

AWS re:Invent 2019: [REPEAT 1] Deep dive into Amazon Athena (ANT307-R1)

Amazon Athena는 표준 SQL을 사용하여 Amazon S3의 데이터를 쉽게 분석 할 수 있는 대화식 쿼리 서비스입니다.
Athena는 서버리스이므로 관리 할 인프라가 없으며 실행 한 쿼리에 대해서만 비용을 지불합니다.
고객이 Athena를 사용하여 데이터 레이크를 쿼리하고 분석가 및 개발자를위한 셀프 서비스를 제공하며 애플리케이션을 구축하는 방법을 알아보십시오.
최신 개선 사항에 대해 자세히 알아보고 데모를 보여줍니다. 새로운 Athena 사용자는 서비스 기능 및 고객 아키텍처 패턴에 대한 이해를 얻습니다.
기존 Athena 사용자는 동시성, 성능 및 보안을 포함하여 최근 개선 된 내용을 이해합니다.

참고: https://dev.classmethod.jp/cloud/aws/reinvent2019-report-amazon-athena-best-practice/

참고: https://www.megazone.com/reinvent-2019-deep-dive-into-amazon-athena/

Redshift

EMR

Youtube

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AWS re:Invent 2019: Upgrading AWS Glue to use AWS Lake Formation permissions (ANT281-P)

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AWS re:Invent 2019: How Zappos uses AWS services for near-real-time search optimization (ANT380-P)

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AWS re:Invent 2019: Intuit: Moving from monitoring to observability using Amazon ES (ANT330)

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AWS re:Invent 2019: AWS analytics enables fraud prevention for Sony’s PlayStation (ANT331)

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AWS re:Invent 2019: Migrate your data warehouse to the cloud, ft. Fannie Mae (ANT334-R)

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AWS re:Invent 2019: How to build your data analytics stack at scale with Amazon Redshift (ANT335-R)

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AWS re:Invent 2019: How Prime Video processes 8 percent of all US internet traffic on AWS (ANT348)

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AWS re:Invent 2019: How Amazon leverages AWS to deliver analytics at enterprise scale (ANT204-R1)

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AWS re:Invent 2019: How to scale data analytics w/ Amazon Redshift, ft. Warner Bros. (ANT335-R1)

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AWS re:Invent 2019: [REPEAT] What’s new with Amazon Redshift, featuring Workday (ANT320-R)

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AWS re:Invent 2019: AWS Data Exchange: Find & subscribe to third-party data in the cloud (ANT238-R)

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AWS re:Invent 2019: [REPEAT] State-of-the-art cloud data warehousing, featuring Comcast (ANT213-R)

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AWS re:Invent 2019: [REPEAT 1] Responding to customer needs in real time with Amazon MSK (ANT309-R1)

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AWS re:Invent 2019: [REPEAT 1] Building a streaming data platform with Amazon Kinesis (ANT326-R1)

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AWS re:Invent 2019: Leadership session: Trends with data lakes and analytics (ANT206-L)

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AWS re:Invent 2019: Simplifying and modernizing home search at Compass with Amazon ES (ANT207-R1)

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AWS re:Invent 2019: Insert, upsert, and delete data in Amazon S3 using Amazon EMR (ANT239)

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AWS re:Invent 2019: [REPEAT 1] Deep dive into Amazon Athena (ANT307-R1)

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AWS re:Invent 2019: How Woot.com built a serverless data lake with AWS analytics (ANT333)

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AWS re:Invent 2019: Deep dive and best practices for Amazon Redshift (ANT418)

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AWS re:Invent 2019: State-of-the-art cloud data warehousing, featuring Asurion (ANT213-R1)

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AWS re:Invent 2019: Sophos: Build security solutions using Amazon Elasticsearch Service (ANT203)

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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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AWS re:Invent 2019: [REPEAT 2] How to scale data analytics with Amazon Redshift (ANT335-R2)

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AWS re:Invent 2019: [REPEAT 1] Data lakes and data integration with AWS Lake Formation (ANT218-R1)

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AWS re:Invent 2019: Easily find & subscribe to third-party data in the cloud (ANT238-R1)

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AWS re:Invent 2019: [REPEAT 1] What’s new with Amazon Redshift, featuring Yelp (ANT320-R1)

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