Data + AI Summit 2022: June 27–30, Moscone Center + Virtual

Join us for unique community-driven content, deep technical training and outstanding speakers like Andrew Ng and Ali Ghodsi.

All your data, analytics and AI on one platform

Data Lakehouse: The best of both worlds in one platform

A data lakehouse unifies the best of data warehouses and data lakes in one simple platform to handle all your data, analytics and AI use cases. It’s built on an open and reliable data foundation that efficiently handles all data types and applies one common security and governance approach across all of your data and cloud platforms.

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Unify your data warehousing and AI use cases on a single platform


Built on open source and open standards


One consistent data platform across clouds

Lakehouse unifies your data teams

Data management and engineering

Streamline your data ingestion and management

With automated and reliable ETL, open and secure data sharing, and lightning-fast performance, Delta Lake transforms your data lake into the destination for all your structured, semi-structured and unstructured data.


Derive new insights from the most complete data

With ready access to the freshest and most complete data and the power of Databricks SQL — up to 12x better price/performance than traditional cloud data warehouses — data analysts and scientists can now quickly derive new insights.

Data science and machine learning

Accelerate ML across the entire lifecycle

The lakehouse forms the foundation of Databricks Machine Learning — a data-native and collaborative solution for the full machine learning lifecycle, from featurization to production. Combined with high-quality, highly performant data pipelines, lakehouse accelerates machine learning and team productivity.

The data warehouse is history. Discover why the lakehouse is the modern architecture for data and AI.

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The Future of the Modern Data Stack

The CEOs of Databricks, dbt Labs and Fivetran share their vision on data and AI

Virtual | Hosted by TechCrunch
May 24 | 10 AM PT

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