Scala and Python developers will learn key concepts and gain the expertise needed to ingest and process data, and develop high-performance applications using Apache Spark 2.
This four-day hands-on training course delivers the key concepts and expertise developers need to develop high-performance parallel applications with Apache Spark 2. Participants will learn how to use Spark SQL to query structured data and Spark Streaming to perform real-time processing on streaming data from a variety of sources. Developers will also practice writing applications that use core Spark to perform ETL processing and iterative algorithms. The course covers how to work with large datasets stored in a distributed file system, and execute Spark applications on a Hadoop cluster. After taking this course, participants will be prepared to face real-world challenges and build applications to execute faster decisions, better decisions, and interactive analysis, applied to a wide variety of use cases, architectures, and industries.
Hands-on exercises take place on a live cluster, running in the cloud. A private cluster will be built for each student to use during the class.
With this course update, the agenda is streamlined to help you quickly become productive with the most important technologies, including Spark 2.