Cloudera Data Engineering: Developing Applications with Apache Spark Course Overview

The Cloudera Data Engineering: Developing Applications with Apache Spark course is a comprehensive training program designed for developers and data engineers to master the intricacies of Spark application development. It covers the entire ecosystem surrounding Spark, including HDFS, YARN, and data processing frameworks. Starting with an introduction to Zeppelin notebooks, the course progresses through fundamental Hadoop components and moves into the evolution of distributed processing.

Learners will gain hands-on experience with RDDs, DataFrames, and Hive integration, as well as data visualization techniques. They will also tackle challenges in distributed processing and learn how to write, configure, and run Spark applications effectively. The course delves into Structured streaming and real-time processing with Apache Kafka, teaching participants how to aggregate and join streaming DataFrames. Finally, an appendix is provided for those interested in working with Datasets in Scala.

By the end of this course, learners will have a solid foundation in Spark and its associated technologies, enabling them to build scalable and efficient data engineering solutions.