blog_posts: 08abf42d7f
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#33-4000 | 2017-12-14 21:08:21 | Simplify Querying Nested JSON with the AWS Glue Relationalize Transform | https://aws.amazon.com/blogs/big-data/simplify-querying-nested-json-with-the-aws-glue-relationalize-transform/ | AWS Glue has a transform called Relationalize that simplifies the extract, transform, load (ETL) process by converting nested JSON into columns that you can easily import into relational databases. Relationalize transforms the nested JSON into key-value pairs at the outermost level of the JSON document. The transformed data maintains a list of the original keys from the nested JSON separated by periods. Let’s look at how Relationalize can help you with a sample use case. | https://d2908q01vomqb2.cloudfront.net/b6692ea5df920cad691c20319a6fffd7a4a766b8/2017/12/13/json5-300x187.png | 08abf42d7f | Trevor Roberts | 2022-10-21 03:06:31 | 14 Dec 2017 |
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