Hadoop Ecosystem

 Courtesy: data-flair.training, bizety

• Hadoop provides a distributed storage and processing framework.
• Hadoop is a framework for distributed storage and processing of large datasets across clusters of computers. 
• It includes two main components: 
• Hadoop Distributed File System (HDFS) for storage and 
• MapReduce for processing. 
• Hadoop is designed to store and process massive amounts of data in a fault-tolerant and scalable manner.
• Hive is a data warehouse infrastructure built on top of Hadoop. It provides a SQL-like interface for querying and analyzing data stored in Hadoop. Hive is suitable for data warehousing and analytics use cases.
• PySpark enables data processing using the Spark framework with Python.
• YARN manages cluster resources to support various processing frameworks.
• HBase provides a scalable NoSQL database solution for real-time access to large datasets.