Stop Searching, Start Finding: Automating Data Discovery and Lineage

*Watch the full webinar here:* https://www.cloudera.com/events/webinars/data-lakehouse.html
Dumping data into a data lake without proper context inevitably leads to unmanageable data sprawl. When users cannot find, understand, or trust the data they need, adoption stalls. To enable true self-service analytics, you need a data catalog that works for your team, not against them.

  • Join us as we explore how to eliminate data chaos using active metadata and automated discovery. You will learn:*

✅ What core components make up a modern metadata catalog and how to ensure it drives immediate value.
✅ How to use end-to-end search workflows to easily discover new datasets and intuitively assess data quality.
✅ Ways to leverage automated data lineage and metadata harvesting so your catalog remains accurate without manual effort.
✅ Strategies to optimize your existing data resources while dramatically increasing operational efficiency and user trust.

Chapters:

00:00 Intro: The hidden danger of Data Swamps in AI

00:30 Why do Data Lakes fail and turn into swamps?

01:03 The AI Trust Crisis: Transparency in regulated industries

01:30 Can AI and analytics actually thrive in a swamp?

01:52 The Modern Lakehouse: A new paradigm for data clarity

02:14 Transforming fragmented data with automated lineage

02:30 Why does data governance strategy fail in execution?

03:09 How Generative AI flipped the data strategy scope

04:04 Moving from reactive to proactive governance

05:07 Is Data Engineering just the "plumbing" of the enterprise?

06:16 What real data democratization actually looks like

06:44 Pre-Impact Analysis: Preventing pipeline failures before they happen

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