Introduction to Big Data Processing with Hadoop (Beginner)
This quest is designed to introduce beginners to the fundamental concepts of big data processing using Hadoop. Participants will learn about the Hadoop ecosystem, including HDFS (Hadoop Distributed File System) and MapReduce, which are critical for handling large datasets. The quest will cover the architecture of Hadoop, its components, and how to set up a local Hadoop environment. Through hands-on exercises, learners will gain practical experience in writing and executing MapReduce jobs, as well as understanding how to store and retrieve data using HDFS. By the end of this quest, participants will have a foundational understanding of big data processing with Hadoop and be able to apply these skills in real-world scenarios.
• Understand the architecture and components of the Hadoop ecosystem.
• Set up a local Hadoop environment for development.
• Write and execute basic MapReduce programs.
• Store and manage data using Hadoop Distributed File System (HDFS).
