Here’s a keynote from Matei Zaharia, the original creator of Apache Spark, that contains retrospective of the Last 10 Years, and a Look Forward to the Next 10 Years to Come.

Apache Spark 3.0 continues the project’s original goal to make data processing more accessible through major improvements to the SQL and Python APIs and automatic tuning and optimization features to minimize manual configuration. This year is also the 10-year anniversary of Spark’s initial open source release, and we’ll reflect on how the project and its user base has grown, as well as how the ecosystem around Spark (e.g. Koalas, Delta Lake and visualization tools) is evolving to make large-scale data processing simpler and more powerful.