On-Demand Webinar
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:
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
Denny Lee
Developer Advocate
Databricks