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AWS Tutorials - AWS Data Wrangler Series - Part4- Working with Amazon DynamoDB
The exercise URL - https://aws-dojo.com/excercises/excercise39
Amazon DynamoDB is a key-value and document database that delivers high performance at scale. AWS Data Wrangler is an open source initiative from AWS Professional Services. It extends the power of Pandas by allowing to work AWS data related services using Panda DataFrames. Once can use Python Panda and AWS Data Wrangler to build ETL with major services - Athena, Glue, Redshift, Timestream, QuickSight, CloudWatchLogs, DynamoDB, EMR, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL). In this exercise, you learn to use AWS Data Wrangler with DynamoDB table.
Видео AWS Tutorials - AWS Data Wrangler Series - Part4- Working with Amazon DynamoDB канала AWS Tutorials
Amazon DynamoDB is a key-value and document database that delivers high performance at scale. AWS Data Wrangler is an open source initiative from AWS Professional Services. It extends the power of Pandas by allowing to work AWS data related services using Panda DataFrames. Once can use Python Panda and AWS Data Wrangler to build ETL with major services - Athena, Glue, Redshift, Timestream, QuickSight, CloudWatchLogs, DynamoDB, EMR, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL). In this exercise, you learn to use AWS Data Wrangler with DynamoDB table.
Видео AWS Tutorials - AWS Data Wrangler Series - Part4- Working with Amazon DynamoDB канала AWS Tutorials
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9 марта 2021 г. 10:30:01
00:25:56
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