A retrospective of the Last 10 Years, and a Look Forward to the Next 10 Years to Come.

In this keynote from Matei Zaharia, the original creator of Apache Spark, we will highlight major community developments with the release of Apache Spark 3.0 to make Spark easier to use, faster, and compatible with more data sources and runtime environments. 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.

Learn about the latest developments in the open-source community with Apache Spark 3.0 and DBR 7.0 in this free webinar.
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Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
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