Description
Descrição
Cloudera University?s three-day Spark course enables participants to build complete, unified Big Data applications combining batch, streaming, and interactive analytics on all their data. With Spark, developers can write sophisticated parallel applications to execute faster decisions, better decisions, and real-time actions, applied to a wide variety of use cases, architectures, and industries
Objectives
Using the Spark shell for interactive data analysis
The features of Spark?s Resilient Distributed Datasets
How Spark runs on a cluster
How Spark parallelizes task execution
Writing Spark applications
Processing streaming data with Spark
Prerequisites
This course is best suited to developers and engineers with prior knowledge and experience with Hadoop. Course examples and exercises are presented in Python and Scala, so knowledge of one of these programming languages is required. Basic knowledge of Linux is assumed.
