What is Hadoop?
Hadoop is an open-source system for storing and processing large amounts of data in a distributed setting using basic programming concepts across clusters of machines. It’s built to expand from a single server to thousands of devices, each with its own computation and storage capabilities.
Hadoop works by breaking down huge data sets and analytical jobs into smaller workloads that can be handled in parallel across nodes in a computing cluster. Hadoop can handle both organized and unstructured data, and it can scale up from a single server to thousands of servers with ease.
Importance of Hadoop –
- The ability to quickly store and handle large amounts of any type of data. That’s an important concern as data volumes and kinds continue to grow, notably from social media and the Internet of Things (IoT).
- Computer processing power – Hadoop’s distributed computing paradigm efficiently processes large amounts of data. You have higher processing power if you use more computing nodes.
- Tolerance to faults – Hardware failure does not affect data or application processing. Jobs are automatically routed to other nodes if a node fails, ensuring that distributed computing does not fail. All data is automatically duplicated and stored in multiple locations.
- The price is low. The open-source framework is free and stores massive amounts of data on commodity hardware.
- Scalability – By simply adding nodes, you may easily expand your system to handle more data. There is very little administrative work to be done.
In 2002, the Nutch project was launched by Doug Cutting and Mike Cafarella. Later, Google released a white paper on GFS and Map Reduce. In Mid 2004, Nutch implemented NDFS and Map Reduce. After a few developments, Nutch started the new sub-project which was named Hadoop. First time in history, Yahoo started using Hadoop on a 1000 node cluster which helped Hadoop to become a top-level project.
In the next article, I am going to discuss Map-Reduce Framework. Here, in this article, I try to explain What is Hadoop and I hope you enjoy this What is Hadoop article.
About the Author: Pranaya Rout
Pranaya Rout has published more than 3,000 articles in his 11-year career. Pranaya Rout has very good experience with Microsoft Technologies, Including C#, VB, ASP.NET MVC, ASP.NET Web API, EF, EF Core, ADO.NET, LINQ, SQL Server, MYSQL, Oracle, ASP.NET Core, Cloud Computing, Microservices, Design Patterns and still learning new technologies.