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Manage concurrent write conflicts in Apache Iceberg on the AWS Glue Data Catalog

AWS Big Data

However, commits can still fail if the latest metadata is updated after the base metadata version is established. Iceberg uses a layered architecture to manage table state and data: Catalog layer Maintains a pointer to the current table metadata file, serving as the single source of truth for table state.

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Streamline data discovery with precise technical identifier search in Amazon SageMaker Unified Studio

AWS Big Data

Whether youre a data analyst seeking a specific metric or a data steward validating metadata compliance, this update delivers a more precise, governed, and intuitive search experience. Refer to the product documentation to learn more about how to set up metadata rules for subscription and publishing workflows.

Metadata 111
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Best Practices for Metadata Management

Alation

What Is Metadata? Metadata is information about data. A clothing catalog or dictionary are both examples of metadata repositories. Indeed, a popular online catalog, like Amazon, offers rich metadata around products to guide shoppers: ratings, reviews, and product details are all examples of metadata.

Metadata 105
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Simplify data integration with AWS Glue and zero-ETL to Amazon SageMaker Lakehouse

AWS Big Data

The data is also registered in the Glue Data Catalog , a metadata repository. Prerequisites Complete the following prerequisites before setting up the solution: Create a bucket in Amazon S3 called zero-etl-demo- - (for example, zero-etl-demo-012345678901-us-east-1 ). For this post, choose Use AWS managed KMS key. Choose Next.

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Introducing a new unified data connection experience with Amazon SageMaker Lakehouse unified data connectivity

AWS Big Data

With the ability to browse metadata, you can understand the structure and schema of the data source, identify relevant tables and fields, and discover useful data assets you may not be aware of. In the following steps, replace amzn-s3-demo-destination-bucket with the name of the S3 bucket. An AWS Glue Data Catalog database.

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Four Use Cases Proving the Benefits of Metadata-Driven Automation

erwin

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. Metadata-Driven Automation in the BFSI Industry. Metadata-Driven Automation in the Pharmaceutical Industry. Metadata-Driven Automation in the Insurance Industry.

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Accelerate SQL code migration from Google BigQuery to Amazon Redshift using BladeBridge

AWS Big Data

BladeBridge provides a configurable framework to seamlessly convert legacy metadata and code into more modern services such as Amazon Redshift. Contact BladeBridge through Request demo and obtain an Analyzer key for your organization. For more details, refer to the BladeBridge Analyzer Demo.