Hadoop: Learn what Apache Hadoop is

Learn what Apache Hadoop is, how it works, and why it is important for big data storage and processing. Explore the Hadoop modules, tools, and ecosystem, and how to use Dataproc to run Hadoop clusters on Google Cloud. Hadoop is an open-source framework written in Java that allows distributed storage and processing of large datasets. Before Hadoop , traditional systems were limited to processing structured data mainly using RDBMS and couldn't handle the complexities of Big Data. The technical explosion of data from digital media has led to the proliferation of modern Big Data technologies worldwide in the system. An open-source framework called Hadoop has emerged as a leading real-world solution for the distributed storage and processing of big data. Nevertheless, Apache Hadoop was the first to demonstrate this wave of innovation. In the era of big data processing, businesses across various industries need to manage and analyze internal large volumes of data ... Hadoop is an open-source framework for storing and processing large-scale data across distributed clusters using commodity hardware. The Hadoop Ecosystem is a suite of tools and technologies built around Hadoop 's core components (HDFS, YARN, MapReduce and Hadoop Common) to enhance its capabilities in data storage, processing, analysis and management. Components of Hadoop Ecosystem Hadoop Ecosystem comprises several components that work together for efficient big data storage and processing ...