Best Practices for Spark Performance Management - ERP Spain.com - España y América Latina

Gain the knowledge of Spark veteran, Alex Pierce on how to manage the challenges of maintaining the performance and usability of your Spark jobs Apache Spark provides sophisticated ways for enterprises to leverage Big Data compared to Hadoop. However, the increasing amounts of data being analyzed and processed through the framework is massive and continues to push the boundaries of the engine. Drawing on experiences across dozens of production deployments, this webinar explores the challenges of managing Apache Spark performance and offers best practices to avoid common mistakes. Learn how to improve the usability, supportability and performance of Spark. Topics include: – Serialization – Partition sizes – Executor resource sizing – DAG management – Shading