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Enriching metadata for accurate text-to-SQL generation for Amazon Athena

AWS Big Data

Amazon Athena provides interactive analytics service for analyzing the data in Amazon Simple Storage Service (Amazon S3). Amazon EMR provides a big data environment for data processing, interactive analysis, and machine learning using open source frameworks such as Apache Spark, Apache Hive, and Presto.

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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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Run Apache XTable in AWS Lambda for background conversion of open table formats

AWS Big Data

Central to a transactional data lake are open table formats (OTFs) such as Apache Hudi , Apache Iceberg , and Delta Lake , which act as a metadata layer over columnar formats. For more examples and references to other posts, refer to the following GitHub repository. This post is one of multiple posts about XTable on AWS.

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Write queries faster with Amazon Q generative SQL for Amazon Redshift

AWS Big Data

Amazon Q generative SQL for Amazon Redshift uses generative AI to analyze user intent, query patterns, and schema metadata to identify common SQL query patterns directly within Amazon Redshift, accelerating the query authoring process for users and reducing the time required to derive actionable data insights.

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Build a high-performance quant research platform with Apache Iceberg

AWS Big Data

Iceberg offers distinct advantages through its metadata layer over Parquet, such as improved data management, performance optimization, and integration with various query engines. Icebergs table format separates data files from metadata files, enabling efficient data modifications without full dataset rewrites.

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The New O’Reilly Answers: The R in “RAG” Stands for “Royalties”

O'Reilly on Data

It offers a wealth of books, on-demand courses, live events, short-form posts, interactive labs, expert playlists, and more—formed from the proprietary content of thousands of independent authors, industry experts, and several of the largest education publishers in the world.

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Manage access controls in generative AI-powered search applications using Amazon OpenSearch Service and Amazon Cognito

AWS Big Data

Solution overview By combining the powerful vector search capabilities of OpenSearch Service with the access control features provided by Amazon Cognito , this solution enables organizations to manage access controls based on custom user attributes and document metadata. Refer to Service Quotas for more details.