Hadoop and Spark Fundamentals: Unit 3

About this course

This course is for those who want to become data engineers or analysts. It covers the key skills needed to manage, process, and analyze large datasets using common industry tools. You will learn how to import data into Hadoop HDFS, Hive tables, and use Spark for direct HDFS imports. The course also covers handling streaming data with Apache Flume and connecting relational databases to Hadoop with Apache Sqoop. You will use Apache Zeppelin for developing Spark applications and learn how to install, monitor, and manage Hadoop clusters with Ambari. The course also introduces advanced HDFS features for data management. By the end, you will be able to use Hadoop and Spark in practical settings.

What you will learn

• Master advanced data ingestion techniques into Hadoop HDFS, including Hive, Spark, Flume, and Sqoop.
• Develop and run interactive Spark applications using the Apache Zeppelin web interface.
• Install, monitor, and administer Hadoop clusters with Ambari and essential command-line tools.
• Utilize advanced HDFS features such as snapshots and NFS mounts for enhanced data management.