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Data Analytics

Data Processing

IoT

Snapshot

Join a streaming data source with CDC data for real-time serverless data analytics using AWS Glue, AWS DMS, and Amazon DynamoDB

AWS Big Data

MAY 30, 2023

Traditional batch ingestion and processing pipelines that involve operations such as data cleaning and joining with reference data are straightforward to create and cost-efficient to maintain. You will also want to apply incremental updates with change data capture (CDC) from the source system to the destination. mode("append").save(s3_output_folder)

Data Lake

Data Lake Data Analytics Analytics Data Processing

Break data silos and stream your CDC data with Amazon Redshift streaming and Amazon MSK

AWS Big Data

DECEMBER 13, 2023

This solution uses Amazon Aurora MySQL hosting the example database salesdb. Valid values for OP field are: c = create u = update d = delete r = read (applies to only snapshots) The following diagram illustrates the solution architecture: The solution workflow consists of the following steps: Amazon Aurora MySQL has a binary log (i.e.,

Data Warehouse

Data Warehouse Snapshot Data Processing Management

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Join a streaming data source with CDC data for real-time serverless data analytics using AWS Glue, AWS DMS, and Amazon DynamoDB

Break data silos and stream your CDC data with Amazon Redshift streaming and Amazon MSK

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