Tag: Data Governance
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How Meta Manages Data Understanding at Scale: A Privacy-First Approach
Meta has developed an innovative approach to data understanding at scale through their Privacy Aware Infrastructure, using a five-step process that includes schematization, metadata prediction, annotation, asset inventory, and continuous maintenance. This system enables Meta to manage millions of data assets while protecting user privacy and driving product innovation.
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Scaling Apache Iceberg Tables with AWS Lake Formation Hybrid Access Mode
Apache Iceberg tables combined with AWS Lake Formation’s hybrid access mode provide a powerful solution for enterprises managing large datasets. This approach allows organizations to use Lake Formation for read access while maintaining IAM policy-based permissions for write operations, offering fine-grained access control without disrupting existing workflows.
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Cross-Account Data Collaboration with Amazon DataZone and AWS Analytics Tools
Amazon DataZone enables secure cross-account data collaboration for AWS services. This solution streamlines data sharing between producer and consumer accounts while maintaining governance. Learn how to set up, publish, and consume shared data assets across accounts using AWS Glue and Amazon Redshift.
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Implementing Streaming Data Governance with Amazon DataZone and DSF on AWS
Discover how to implement comprehensive streaming data governance using Amazon DataZone and the Data Solutions Framework on AWS. Learn about custom asset types, authorization flows, and best practices for managing real-time data streams securely and efficiently.
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Enhance Data Governance with Amazon DataZone’s New Metadata Enforcement Feature
Discover Amazon DataZone’s new metadata enforcement feature that revolutionizes data governance. Learn how this powerful tool enables organizations to implement robust metadata requirements, streamline access requests, and maintain compliance standards efficiently.