On Demand Webinar

Data Catalogs are Essential. But Can They Be Fun?

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In the era of data lakes and digital transformation, Data catalogs are taking on new functionality and revitalized importance. You’d be hard put to manage your data landscape responsibly without a data catalog, but just because catalogs are needed doesn’t mean they are just a dry requirement. Done right, data catalogs can make self-service analytics across the Enterprise far more productive, widely-adopted and — dare we say it — fun.

Data catalogs can facilitate frictionless discoverability, fostering the user enthusiasm needed for a robust data culture. They help users find the data they want and discover data they may not have known was available. Machine learning/AI-driven recommendations help users too, especially when they’re security-aware and based on what other users have found useful.

People are an essential part of successful data catalog implementations, and social collaboration features help spread analytics enthusiasm. Peer endorsement of data sets, user-contributed documentation and peer-to-peer communication are all important; and motivate users toward successful adoption.

To learn more about the benefits of grassroots data catalog implementations and how to get teams excited to join in on all the fun, join us for this free 1-hour webinar from GigaOm Research.  The Webinar features GigaOm analyst Andrew Brust and special guest, Aaron Kalb, Co-founder & VP of Design and Strategic Initiatives from Alation, a frontrunner in the data catalog arena.

In this 1-hour webinar, you will discover:

  • Why data catalogs have emerged so prominently in the data lake/BI/analytics world
  • How data catalogs can be user-positive, not just tools for IT
  • The role of machine learning and AI in data catalog success
  • Where governed personally identifiable information (PII) and business glossary connectivity tie in

Register now to join GigaOm and Alation for this free expert webinar.

Who Should Attend:

  • CTOs
  • Chief Data Officers
  • Business Analysts
  • Data Analysts
  • Data Engineers
  • Data Stewards
  • Database Administrators (DBAs)
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