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AWS Glue is a data catalog for storing metadata in a central repository. It’s a way to automate ETL so that you point AWS Glue to the data that’s stored within AWS. The data becomes searchable ...
When a customer identifies a data source (e.g., a database table) and target (e.g., a data warehouse) from the Data Catalog, AWS Glue matches the schemas and generates data transformation code ...
"By directly migrating metadata from Apache Hive to AWS Glue Data Catalog, companies can enjoy the benefits of a cloud-native, managed metadata catalog that is flexible, reliable, and usable for a ...
It has a central data repository called the AWS Glue Data Catalog, an ETL engine that generates Python code automatically and a flexible scheduler to handle dependency resolution, job monitoring ...
Any data that’s indexed by the AWS Glue Data Catalog can also be brought into Glue DataBrew purview, AWS says. “Once your data is ready, you can immediately use it with AWS and third-party services to ...
In total, there can be up to five collaborators and their data is stored in an AWS Glue Data Catalog. When anyone runs a query over this data, Clean Rooms will read it, wherever it lives ...
Customers can now easily deploy Privitar on AWS, import a schema from the AWS Glue Data Catalog, define a Privitar Policy, and then apply the Privitar Policy to de-identify data on Amazon Simple ...
AWS has launched Glue Elastic Views, a new tool to let developers move data from one store to another. At the AWS re:Invent keynote, CEO Andy Jassy announced Glue Elastic Views, a service that ...
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