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Lakehouse Architecture

From vision to reality

Available on demand

Enterprises today struggle with the complexity of maintaining both data lakes and data warehouses. They grapple with data silos that prevent a single source of truth, the expense of maintaining complicated data pipelines, and reduced decision-making speed.

The answer to this complexity is the lakehouse, a platform architecture that implements similar data structures and data management features to those in a data warehouse directly on the low-cost, flexible storage used for cloud data lakes.

To bring this to life, Databricks SQL Analytics provides customers with a first-class experience for performing BI and SQL workloads directly on the data lake, augmenting the rich data science and data engineering capabilities already available in the Databricks platform. Watch now to discover how the lakehouse architecture delivers up to 9x better price/performance than traditional cloud data warehouses.

Watch now to explore these key topics:

  • Keynote and demo by Ali Ghodsi, co-founder and CEO of Databricks, and Brooke Wenig, Director of Data Science at Databricks, to introduce the SQL Analytics service and how it uniquely provides a first-class experience for BI and SQL on data lakes
  • Q&A with Unilever on how they are applying the lakehouse architecture to reduce complexity and accelerate decision-making
  • Partner talk with Tableau on the value of running BI workloads on the data lake
  • Technical Talks with Q&A throughout the event

講演者

Ali Ghodsi
Co-founder and CEO Databricks

Brooke Wenig
Director of Data Science Databricks

Blair Hutchinson
Product Manager Tableau

Todd Greenstein
Product Manager Databricks

Daniel Ferrante
Director of Platform Engineering
Digital Turbine

HOSTED BY
Denny Lee
Developer Advocate
Databricks

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