How to Build a Business Catalog with Amazon Datazone Ant217

Title

AWS re:Invent 2023 - How to build a business catalog with Amazon DataZone (ANT217)

Summary

  • Amazon DataZone is a data management service that enables organizations to build an active metadata layer for data sharing and discovery.
  • Priya Trittani, Senior Product Manager for Amazon DataZone, and Leo, a demonstrator, presented the session.
  • DataZone allows for the creation of organizational domains, metadata curation, and the use of business glossaries and metadata forms to provide context and understanding of data assets.
  • DataZone integrates with AWS Glue to ingest and catalog technical metadata, which can be enriched with business information.
  • The service supports the cataloging of various asset types beyond structured data, such as dashboards, ML models, SQL queries, and more.
  • DataZone automates data ingestion and curation, including automated name generation for assets using machine learning.
  • A new capability related to automated curation was teased for Adam's keynote the following day.
  • Leo demonstrated how to create a business glossary, metadata forms, and document a data asset within DataZone.
  • The session concluded with a mention of the new data governance track at re:Invent and the introduction of a master class series on data governance best practices.

Insights

  • Amazon DataZone addresses the challenge of making data accessible and understandable across an organization, which is a common issue faced by many companies.
  • The service emphasizes the importance of metadata curation for both technical and non-technical users, suggesting a shift towards more user-friendly data management practices.
  • DataZone's integration with AWS Glue highlights AWS's strategy of building on existing services to provide more comprehensive solutions.
  • The automation of data ingestion and metadata curation, particularly through machine learning, indicates a trend towards reducing manual effort in data management tasks.
  • The ability to catalog a wide variety of asset types reflects the evolving nature of data assets in modern data ecosystems.
  • The announcement of a new data governance track and master class series at re:Invent suggests that AWS is placing a greater emphasis on education and best practices around data governance.