The release of Databricks Runtime 4.0, which includes Apache Spark™ 2.3, continues to improve one of the best runtime environments in the cloud for Apache Spark, so our customers and users — data scientists, engineers, and analysts — can run their big data workloads at optimal speeds. With Apache Spark at its core, Databricks Runtime has demonstrated over 5x performance when compared to other big data SQL query engines.
In this eBook, we explore how Databricks Runtime takes a big step forward in speed, unification, and API support. Read this eBook to:
- Learn how Databricks Runtime 4.0 and Apache Spark 2.3 simplify machine learning and streaming.
- See how Structured Streaming is enhanced by the new Continuous Processing mode.
- Discover what you can do with Apache Spark on Kubernetes.
Get the eBook to learn more.