What’s New in Spark 3.0 - Online Event

Continuing with the objectives to make Spark faster, easier, and smarter, Apache Spark 3.0 is a culmination of the tremendous contributions from the open-source community to deliver new capabilities, performance gains and expanded compatibility for the Spark ecosystem.

The release of Apache Spark 3.0 builds on many of the innovations from Spark 2.0, bringing new ideas as well as continuing long-term projects that have been in development. The Apache Spark Software foundation’s long-term vision of helping data teams unify data and AI marries well with Databricks’ own mission statement to make Spark powerful enough to solve the toughest big data problems but also easy to use so that you’d actually be able to. And this is not just for data engineers and data scientists, but also for anyone who does SQL workloads with Spark SQL.

Over 3,000 Jira tickets are resolved with this new release of Spark and, while we won’t be able to cover all the new capabilities in depth during this meeting, we’ll talk about some of the exciting new features and share with the community many of the most significant changes and developments with examples and demos.

Come join us to learn about Apache Spark 3.0