Process Large Datasets using Apache Hadoop and Apache Spark Frameworks

Learning Objectives

At the end of this topic, you will be able to:

1. Set up and configure Hadoop and Spark environments.
2. Ingest and store large datasets in HDFS.
3. Develop and execute MapReduce jobs to process distributed data.
4. Develop Spark applications using RDDs, DataFrames, and Spark SQL.
5. Apply data transformations and actions to large datasets.
6. Monitor and optimise job performance, and validate and document results.