Introduction to Hadoop: Architecture and Core Components
Introduction In today’s data-driven world, organizations generate and consume massive volumes of data daily. Traditional data processing systems struggle to handle such scale and complexity. Enter Apache Hadoop , the open-source framework that revolutionized big data processing with its scalable, fault-tolerant, and distributed computing approach. In this post, we’ll explore the Hadoop architecture and dive into its core components , helping you understand how it powers large-scale data processing across clusters of machines. What is Hadoop? Apache Hadoop is an open-source framework developed to process and store huge datasets in a distributed computing environment. Initially developed by Doug Cutting and Mike Cafarella , Hadoop is now a top-level project under the Apache Software Foundation . Its key strengths lie in: Scalability: Can grow by simply adding more nodes Fault tolerance: Data is replicated to prevent loss Cost-effectiveness: Runs on commodity h...