What You Need To Know About Hadoop Software?by Swetha Naidu Analyst
Well if you are not tech savvy and looking forward to learning about Hadoop, then you are at the right place. Hadoop is an open source programming framework that is based on Java. It is essential and plays a vital role when it comes to the storage and processing of large data in a computing environment. Hadoop is a part of the project Apache which is sponsored by Apache Software Foundation.
With the help of Hadoop training in Hyderabad, we will be able to run applications on the system with many commodity hardware nodes and will also be able to handle plenty of data like thousands of Terabytes of data. By adopting and implementing this, the huge data will be secured and stored safely. It actually reduces the risk of catastrophic failure and sudden data loss.
Hadoop emerged as a basis for big data processing and it includes various tasks such as business planning, sales planning, scientific analytics and processing of huge data.
History of Hadoop :
Hadoop was created in the year 2006 by scientists Mike Cafarella and Doug Cutting. They created this in order to support the Nutch Search engine. This was an inspired idea by Google MapReduce which is a software framework. Here the application is divided into numerous parts. These parts which are also called as “Fragments” or “Block” can be run on any node. After a lot of changes and development in the open source community, Hadoop 1.0 became officially available dated November 2012 as a part of the project Apache which was sponsored by the Apache Software Foundation.
After its release, the software has been constantly observing and changes have been done over the period of time to keep the framework updated. The updated version of Hadoop that is Hadoop 2 improved the scheduling and managing resources. This features file system option that is highly available and it indeed supports Microsoft windows and other components to expand the versatility when it comes to data processing and analytics. Devops tools can be used as a combination to get the best effective results.
Companies who have huge data to keep their data secured can deploy the Hadoop software and its components in the local data center. However, this depends on the computing resources that are available. Hadoop is mostly used for high-ends data platforms such as cloud services such as Amazon web services, Microsoft Azure and Google cloud.
Benefits of Hadoop:
They are highly cost-effective and not like the traditional databases RDMS which are usually expensive when it comes to processing huge data. Hadoop provides cost-effective solutions for huge datasets.
Any organization wants their data to be safe and secured as they are very much dependent or reliable on the data. Hadoop provides completely data reliability so that they don’t need to suffer from data losses They are also highly scalable costing very less for the organization when it comes to storing and moving the data.
The process is simpler to handle and at the same time, they are fast. They can process huge data in a shorter span. They are safe and authentic. Learn more through Hadoop training in Hyderabad.
With the development of Hadoop and Devops tools , it has added numerous benefits to bigger organizations and has raised the standards of data storage and security.
Created on Nov 20th 2017 07:39. Viewed 171 times.