Advantages of Hadoop

Advantages of Hadoop


The name Hadoop is derived from a small toy elephant but Hadoop is said to be a soft toy. Hadoop is the open source project which offers a new method to process and store big data. Enrich your knowledge in Hadoop Training Chennai and enhance your career.
Hadoop is a greatly scalable storage platform as it can distribute and store huge data sets across numerous inexpensive servers which operate in parallel. Unlike traditional RDBMS which cannot scale processing huge amounts of data, Hadoop permits businesses to run applications on the high number of nodes that includes thousands of data terabytes.
2. Cost Efficient
Hadoop provides a cost-efficient solution of storage for various businesses discharging data sets. The problem with traditional RDBMS is that it is tremendously cost restrictive to scale to such a degree to process huge volumes of data. To minimize costs, several companies in the past might have to down sample data and distinguish depends on some assumptions as to which data was said to be the most valuable. Thus the raw data might be deleted as it will be too cost restrictive to keep. Hadoop is designed as a scale-out architecture which can store all the company’s data at an affordable price for later use. Hadoop Training in Chennai offers the quality education for the aspirants and help them improve their skills.
3. Pliable
Hadoop allows businesses to access sources of new data easily and tap into various kinds of data that are structured and unstructured in order to produce value from that data. It means businesses can utilize Hadoop to obtain valuable insights of business from data sources which includes email conversations, clickstream data, or social media. Moreover, Hadoop is used for an extensive kind of purposes that includes recommendation systems, log processing, market campaign analysis, fraud detection, and data warehousing.
4. Rapid
The unique storage method of Hadoop depends on a distributed file system which maps data where it is situated on a cluster basically. The tools for processing data are mostly on the similar servers where the data is located, that result in much quicker data processing. If you are handling huge volumes of data which are unstructured, Hadoop is capable of processing terabytes of data efficiently in few minutes & petabytes in hours.
5. Adaptable to Failure
The main primary benefit of using Hadoop is said to be its fault tolerance. If a data is sent to an independent node, that data is duplicated to other nodes in the cluster that means in the failure event there will be an extra copy available for use.
When it comes to dealing with huge data sets in a cost-efficient and safe manner, Hadoop has the benefit over RDBMS and its value for any kind of businesses that continues to improve as unstructured data which continues growing.
Learn Big Data Training in Chennai and have a bright future. Hope this article provides the brief information about the major benefits of Hadoop.

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