Introduction to Apache Hadoop for Data Science
Big data has become an essential component of modern businesses, and Apache Hadoop is one of the most widely used frameworks for handling massive datasets. As a data science enthusiast or professional, understanding Hadoop is crucial for managing and analyzing big data effectively. If you're looking to build expertise in big data analytics, consider enrolling in an artificial intelligence course in Thane to gain hands-on experience with Hadoop and other advanced data processing tools. Understanding Apache Hadoop 1. What is Apache Hadoop? Apache Hadoop is an open-source framework that allows you to store and process vast amounts of data across distributed computing clusters. Key Components of Hadoop: HDFS (Hadoop Distributed File System): A distributed file storage system for managing large datasets. MapReduce: A programming model that enables parallel processing of big data. YARN (Yet Another Resource Negotiator): Manages resources and schedules tasks across nodes. HBase: A N...