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Unifying metadata governance across Amazon SageMaker and Collibra

AWS Big Data

Managing metadata across tools and teams is a growing challenge for organizations building modern data and AI platforms. As data volumes grow and generative AI becomes more central to business strategy, teams need a consistent way to define, discover, and govern their datasets, features, and models.

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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 Redshift is used to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes. Table metadata is fetched from AWS Glue.

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Expand data access through Apache Iceberg using Delta Lake UniForm on AWS

AWS Big Data

The landscape of big data management has been transformed by the rising popularity of open table formats such as Apache Iceberg, Apache Hudi, and Linux Foundation Delta Lake. These formats, designed to address the limitations of traditional data storage systems, have become essential in modern data architectures.

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Accelerate your migration to Amazon OpenSearch Service with Reindexing-from-Snapshot

AWS Big Data

How RFS works OpenSearch and Elasticsearch snapshots are a directory tree that contains both data and metadata. The raw data for a given shard is stored in its corresponding shard sub-directory as a collection of Lucene files, which OpenSearch and Elasticsearch lightly obfuscates. source cluster containing 5 TiB (3.9

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How Volkswagen Autoeuropa built a data solution with a robust governance framework, simplifying access to quality data using Amazon DataZone

AWS Big Data

Onboard key data products – The team identified the key data products that enabled these two use cases and aligned to onboard them into the data solution. These data products belonged to data domains such as production, finance, and logistics. It highlights the guardrails that enable ease of access to quality data.

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How BMW streamlined data access using AWS Lake Formation fine-grained access control

AWS Big Data

To achieve this, they aimed to break down data silos and centralize data from various business units and countries into the BMW Cloud Data Hub (CDH). Consumer accounts : Used by data consumers to implement use cases insights and build applications tailored to their business needs.

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Recap of Amazon Redshift key product announcements in 2024

AWS Big Data

We have enhanced data sharing performance with improved metadata handling, resulting in data sharing first query execution that is up to four times faster when the data sharing producers data is being updated. Industry-leading price-performance: Amazon Redshift launches RA3.large