Highly technical content, presented by leading experts, plus a full slate of hands-on training workshops for everyone from data engineers to data scientists and business leaders.
Training and Breakout Sessions
Training takes place May 24-25, with an extensive curriculum of full and half-day classes. In addition to training, we will have two full days of breakout sessions that will cover technical content from practitioners who are solving tough data problems, using Apache Spark™, Delta Lake, MLflow, Structured Streaming, BI and SQL Analytics, deep learning and machine learning frameworks:
AI uses cases and new opportunities
Best practices and use cases for Apache Spark™, Delta Lake, MLflow
Data engineering, including streaming architectures
SQL analytics and BI using data warehouses and data lakes
Discover how a lakehouse simplifies your data architecture by unifying all your data, analytics and AI on one platform
Keep up with the latest advances in open-source technologies like Apache Spark™, Delta Lake, MLflow and Koalas
Take advantage of a full slate of hands-on training workshops for everyone from data engineers to data scientists and business leaders
Level up your knowledge with highly technical content presented by leading experts in the industry, research and academia
Network with 100,000 data professionals from around the world
“Huge props to @databricks for hosting and putting on an amazing #SparkAISummit! The online platform for the conference was seamless, and the amount of innovation showcased in the talks was incredible. Lots of great new Spark 3.0 features to play with too!”
“What an Incredible day of learning and exchange of ideas from industry experts in the Spark community! ML yoga to Apache Spark 3.0, Data Lakehouse, Databricks, CI/CD with MLflow, DL, Koalas and more. @SparkAISummit @databricks #SparkAISummit #DataTeams #DeltaLake #BigData”
"Only a few hours into the #SparkAISummit and it's already been chock full of good learnings."