Hadoop and Spark are the stars of the Big Data world. This course covers the basics of Spark and how to use Spark and Hadoop together for big data analytics. Designed for developers, architects, and data analysts with a fundamental understanding of Hadoop, it begins with an overview of how Hadoop and Spark are used in today's big data ecosystem before moving into hands-on labs that demonstrate Spark and Spark-Hadoop integration.
Watch this ongoing compilation of Spark talks from leading developers and practicioners at Strata + Hadoop World conferences in 2016 (including San Jose, London, Beijing, New York, and Singapore). Throughout the year we'll update the stream of talks covering the latest trends in Spark for real-time analytics and machine learning, as well as tips on how to deploy Spark in production. Topics range from Spark 2.0, anomaly detection with Spark, training deep networks in Spark, and tips for securing and scaling Spark in production.