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Implementing Data Governance 3.0 for the Lakehouse Era: Community-Led and Bottom-Up

On Demand


  • Session


  • In-Person


  • Data Security and Governance


  • Intermediate


  • Moscone South | Upper Mezzanine | 152


  • 35 min
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Today, companies want to decrease the risk of showing confidential data to the wrong person, bad data being used to make big decisions, and violating important regulations. As data teams become more mainstream, and the modern data stack has made it easier to ingest and transform data, the lack of data governance practices is one of the top barriers preventing data teams from being agile and driving impact. However, the data governance practice is seen as a restrictive, bureaucratic, controlling process. And it’s no secret that most data governance programs fail. Centralized data steward–based, top-down governance models won’t work anymore.

The workplace is changing. Top-down cultures are getting eroded and employees crave purpose in everything they do, so just telling people to do something won’t work anymore. Data governance has lost its identity — and needs a paradigm shift. The data governance of the future needs to be fundamentally practitioner-led, and bottoms up.

In this session, I cover our lessons in rethinking data governance by approaching data governance as an enablement function through implementing over 200+ data projects. I’ll go into the nuts and bolts of tooling and cultural practices governing our team and data helped our team accomplish projects twice as fast with teams that were one-third our normal size.

The session concludes with why organizations should start believing in and investing in true data governance and implementing governance tools and processes that are agile and collaborative, rather than top-down.

Session Speakers

Prukalpa Sankar



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