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.
No comments:
Post a Comment