Data Teams Unite!



The free virtual event for data teams

Data and AI are converging. The success of Apache Spark™ has accelerated the evolution of data teams to include data analytics, science, engineering and AI. Data + AI Summit Europe (formerly Spark + AI Summit) brings together thousands of data teams to learn from practitioners, leaders, innovators and the original creators of Spark, Delta Lake, MLflow and Koalas.

Visionaries and thought leaders

Malcolm Gladwell

Best-selling author of
The Tipping Point, Outliers,
Blink and many more
Journalist and podcast host

Ali Ghodsi

Co-founder & CEO

Original Creator of
Apache Spark™

Dr. Kira Radinsky

AI and Predictive Analytics in

Matei Zaharia

Co-founder & Chief Technologist
Original Creator of
Apache Spark™ & MLflow

Brooke Wenig

Machine Learning Practice Lead

Reynold Xin

Co-founder & Chief Architect

Jeremy Singer-Vine

Pulitzer Prize nominated
Data Editor
 and a lead on
FinCEN files with ICIJ

Training and Breakout Sessions

Data + AI Summit 2020 training will be held on 17 November, with an expanded curriculum of full and half-day classes. These workshops will include both lectures and hands-on exercises. 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.
See full schedule


Data + AI Summit 2020 features a number of pre-conference training workshops that include a mix of instruction and hands-on exercises to help you improve your Apache Spark™ and Data Engineering skills. You can also get certified with our Apache Spark 3.x certification exam.

Includes topics such as:

  • Catch up on rapid advances for popular open-source projects – Apache Spark™, Delta Lake, MLflow, and Koalas
  • Discover best practices for building, deploying, and productionising ML models
  • Learn about the latest deep-learning frameworks and Apache Spark™ Integrations
  • Get insight into how Data and AI together are unified to innovate business
See full list of training options

Breakout Sessions

Data scientists, data engineers, analysts, developers, researchers and ML practitioners all attend Summit to learn from the world's leading experts on topics such as:
  • 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
  • Data science, including the Python ecosystem
  • Machine learning and deep learning applications
  • Productionising machine learning (MLOps)
  • Research on large-scale data analytics and ML
  • Industry use cases
See full schedule

Conference pricing







Half day course


Full day course


Group pricing



Apache Spark™ certification exam


5 reasons to attend Data + AI Summit

Catch up on rapid advances and best practices in technologies like Apache Spark™, Delta Lake, MLflow, Koalas and Redash
Learn how Delta Lake is accelerating the emergence of the Lakehouse paradigm
Discover new opportunities in AI from industry leaders and researchers
Get your data team up to speed on the convergence of BI, ML and AI
Network with more than 20,000 data professionals from across Europe and around the world

Data + AI Summit is for you if you are a:

Data Engineer

“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!”

Data Scientist

“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”

Data Scientist

"Only a few hours into the #SparkAISummit and it's already been chock full of good learnings."

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