Databricks Runtime 4.0 with Apache Spark 2.3: Why Should You Care? - Seguridad Mania.com - España y América Latina

Databricks Runtime 3.0 (DBR), released last year, is at the cornerstone of Databricks Unified Analytics Platform and has set a milestone as one of the best Spark cloud-based runtime execution environment for your big data workloads. The release candidate of Apache Spark 2.x at its core, DBR has demonstrated over 5.x performance when compared to other big data SQL query engines. With Apache Spark 2.3 released last week and now part of DBR, we continue to improve DBR as 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. For our customers, the enhancements to the DBR matter. So in this webinar, we’ll share why it should matter to you, too. In particular, we will elaborate on salient features of DBR 4.0, with Apache Spark 2.3 at its core, and demonstrate some aspects of its performance with a short demo.