- Introduction to Big Data: Understanding the concepts, challenges, and opportunities in big data.
- Hadoop Ecosystem Overview: Components of Hadoop including HDFS, MapReduce, YARN, and Hadoop Common.
- Data Storage with HDFS: Managing and storing large datasets using Hadoop Distributed File System.
- Data Processing with MapReduce: Writing, debugging, and optimizing MapReduce jobs for distributed data processing.
- Advanced Hadoop Tools: Exploring additional tools like Hive, Pig, and HBase for data querying and management.
- Hands-on Labs: Implementing big data solutions and processing workflows using Hadoop and its ecosystem tools.
