Databricks at AWS re:Invent
All your data, analytics and AI on one open platform
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The world’s first lakehouse — simple, open and collaborative
The lakehouse data architecture combines the best features of data lakes and data warehouses.
Databricks Sets Official Data Warehousing Performance Record
Databricks SQL has set a new world record in 100TB TPC-DS, the gold standard performance benchmark for data warehousing.
Explore lakehouse at these sessions:
Data Management: The Good, the Bad and the Ugly
Wednesday | 1–2 PM PT | Venetian — Murano 3306
Could this be the end of the 2 AM page? Can the data lake be reliable? Is it possible to do BI on live data at scale? Learn how Databricks helps data engineers sleep at night and helps data architects deliver a simple, modern data platform, creating a foundation for data pipelines to serve the entire organization, from business analysts to data scientists. Discover how Databricks simplifies data management on top of your Amazon S3 data lake through lakehouse architecture — from data processing with ETL to data governance to analytics. Get hands-on with code, as Databricks notebooks will be provided.
Sunset for the Data Warehouse; Rise of the Data Lakehouse
Thursday | 1–2 PM PT | Venetian — Lando 4201A
The data warehouse era is ending. The data lakehouse has emerged as the new data platform for the cloud by providing one unified platform for both traditional analytics and machine learning. A lakehouse architecture combines the performance, reliability and governance of data warehouses, with the low cost and open approach of a data lake. Customers have achieved 48x faster data processing and significantly improved collaboration, leading to 50% faster time to insight after implementing a lakehouse on their Amazon S3 data lake. See how companies are implementing a lakehouse on AWS today and the problems it’s solving for them.
Scalable Data Architectures for Digital Natives
Friday | 10:45–11:45 AM PT | Caesars Forum — Summit 228
A key consideration for digital natives is the ability to scale with growth — to build, organize and govern an offering that continues to deliver on its core promise. As you grow, you need an infrastructure that’s ready to function effectively and that can accommodate an influx of users, data and demand. Learn how to establish architecture and governance for scale and to prepare your engineering landscape for growth. Embrace must-learn lessons for any startup to create a data architecture that is ready for fast growth and scale.
Party at the Lakehouse
Join us at Topgolf Las Vegas for a party at the lakehouse. Golfing, games and prizes, and a chance to meet and network with some of the brightest minds in data and analytics.
Meet 1:1 at the Lakehouse
Connect with our data and AI experts at Booth 976 to discuss your data challenges and find out how we can help you resolve them. Come learn how your data pipelines can be automated to handle streaming and batch data, automatically refining and improving the data to make it available to data scientists and data analysts. Discover how you and your team can collaborate in real time to author data science, data engineering and machine learning notebooks, using Python, SQL, R and Scala. Learn how you can build a lakehouse that can handle all your data and analytics use cases.