Supercharging Apache Spark Performance with Databricks - ERP Spain.com - España y América Latina

Performance is often a key factor in choosing big data platforms. Over the past few years, Apache Spark has seen rapid adoption by enterprises, making it the de facto data processing engine for its performance and ease of use. But are all flavors of Spark actually created equal? Since starting the Spark project, our team at Databricks has been focusing on accelerating innovation by building the most performant and optimized Unified Analytics Platform for the cloud. Join Reynold Xin, Co-founder and Chief Architect of Databricks as he discusses the results of our benchmark (using TPC-DS industry standard requirements) comparing the Databricks Runtime (which includes Apache Spark and our DBIO accelerator module) with vanilla open source Spark in the cloud and how these performance gains can have a meaningful impact on your TCO for managing Spark. This webinar covers: Differences between open source Spark and Databricks Runtime. Details on the benchmark including hardware configuration, dataset, etc. Summary of the benchmark results which reveal performance gains by up to 5x over open source Spark and other big data engines. A live demo comparing processing speeds of Databricks Runtime vs. open source Spark. Special Announcement: We will also announce an experimental feature as part of the webinar that aims at drastically speeding up your workloads even more. Be the first to see this feature in action. Register today!