The Hadoop Developer with Spark course is designed to equip learners with the skills needed to build big data processing applications using Apache Hadoop and Apache Spark. It is an excellent pathway for those preparing for the CCA 175 certification, as it covers the necessary topics and provides hands-on experience. Throughout the course, participants will explore the Hadoop ecosystem, understand HDFS architecture, and work with YARN for resource management.
The course delves into the basics of Apache Spark, DataFrame operations, and Spark SQL for querying data, which are crucial for the CCA 175 certification. Learners will also gain practical knowledge of RDDs, Data persistence, and Spark streaming, all of which are part of the CCA 175 exam syllabus. By the end of the course, participants will be proficient in Writing, configuring, and running Spark applications, setting them on the path to becoming certified Hadoop professionals with a focus on Spark.
