利用 S3 表和 AWS 分析可视化数据湖洞察 [重复].pdf

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.S T G 3 4 6-RVisualize data lake insights with S3 Tables and AWS analyticsBirender PalHe/HimSenior Solutions ArchitectAWSGuy BacharHe/HimSenior Solutions ArchitectAW

2、S 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.AgendaData lake evolution on S3S3 Tables with AWS analytics integration Visualization examples Demo and whiteboarding Q&A 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Exabytes of Parquet files stored in S3 tod

3、ayOne of the most common and fastest growing data types in Amazon S3Today,S3 is a tabular data store 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Transactional updatesSchema andpartition evolutionOptimization andcompactionTime travel queriesOpen table formats(OTFs)2025,Amazon W

4、eb Services,Inc.or its affiliates.All rights reserved.Growing scale requires more performanceEnforcing table-level security is complexOptimizing storage cost drives unexpected operational burdenCustomer problems to solve 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.New resource

5、sIntroducing S3 TablesThe table is a first-class AWS resourceHas an ARNCan take an S3 resource policyHas a dedicated endpoint:New Table operation APIs 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.BenefitsOPTIMIZED PERFORMANCESECURITY CONTROLSCOST OPTIMIZATIONIntroducing S3 Tabl

6、es 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.S3 Table performance10 xTransactions per second(TPS)3xImprovement toquery performance 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Performance-3x faster query performanceS3 Tables-Automatic compaction 2025,Am