blog_posts: 38962d7f5c
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#33-51528 | 2023-08-03 14:46:38 | Create an Apache Hudi-based near-real-time transactional data lake using AWS DMS, Amazon Kinesis, AWS Glue streaming ETL, and data visualization using Amazon QuickSight | https://aws.amazon.com/blogs/big-data/create-an-apache-hudi-based-near-real-time-transactional-data-lake-using-aws-dms-amazon-kinesis-aws-glue-streaming-etl-and-data-visualization-using-amazon-quicksight/ | We recently announced support for streaming extract, transform, and load (ETL) jobs in AWS Glue version 4.0, a new version of AWS Glue that accelerates data integration workloads in AWS. AWS Glue streaming ETL jobs continuously consume data from streaming sources, clean and transform the data in-flight, and make it available for analysis in seconds. AWS also offers a broad selection of services to support your needs. A database replication service such as AWS Database Migration Service (AWS DMS) can replicate the data from your source systems to Amazon Simple Storage Service (Amazon S3), which commonly hosts the storage layer of the data lake. This post demonstrates how to apply CDC changes from Amazon Relational Database Service (Amazon RDS) or other relational databases to an S3 data lake, with flexibility to denormalize, transform, and enrich the data in near-real time. | https://d2908q01vomqb2.cloudfront.net/b6692ea5df920cad691c20319a6fffd7a4a766b8/2023/07/31/BDB-2503-image001-300x113.png | 38962d7f5c | Raj Ramasubbu, Sundeep Kumar, Rahul Sonawane | 2023-08-03 14:46:38 | 03 Aug 2023 |
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