A Comprehensive Look at the Primary Benefits of Hadoop Analytics Platform

Hadoop is an advanced open source data analytics platform which offers excellent data management facilities. It is one of the best frameworks which support the processing of massive data sets in a distributed computing setting. Hadoop analytics platform is tailored to inflate from single servers to hundreds of machines, each offering computation and storage facility.

Its distributed file management system facilitates fast data transfer rates among nodes and enables the system to continue operating constantly in case of a node failure that minimizes the threat of catastrophic system failure, even if a significant quantity of nodes get out of action. 

Hadoop is extremely precious for large scale businesses basing on its verified benefits for businesses mentioned below.

Take a Look at the Primary Benefits of The Advanced Hadoop Analytics Platform:

• Flexibility: Every business owner knows that only 20% of data in companies is properly structured and the remaining is all unstructured, but it is extremely important to administer unstructured data that goes unfocused. The advanced Hadoop analytics platforms manage different sorts of Big Data- structured and unstructured and encoded and formatted or any other kind of data and makes it helpful for the decision making process. Hadoop is easy-to-use, relevant and schema-less! Though Hadoop usually supports Java Programming, but any programming language can be easily used in Hadoop through using the MapReduce method. While Hadoop works the best on Windows and Linux, but it can also work effectively on other operating systems.

• Scalability: Hadoop analytics is a scalable platform and new nodes can be effortlessly added in the system whenever required without modifying the data formats, how data gets loaded, how programs have been written or without changing the existing applications. Hadoop analytics is an open source platform and functions on the industry-standard hardware. Additionally, Hadoop is also error-tolerant which means, if a node gets misplaced or goes out of service then, the system automatically reassigns work to another location of the data and carry on to process data smoothly!

• Creating More Resourceful Data Economy: Hadoop analytics solution has transformed the processing and analysis of big data across the world. Until now, companies kept being anxious about the right approaches to manage the constant data runoff in their systems. Hadoop harnesses the flow of infinite amount of data and produces a lot of power in the type of relevant information. Hadoop has altered the finances of storing and assessing data completely!

• Strong Ecosystem: Hadoop has an extremely strong and a rich ecosystem which is apt to meet the analytical requirements of the developers, web start-ups and other companies. Hadoop analytics ecosystem comprises of different related projects like HCatalog, Apache Pig, MapReduce, Hive, HBase, Zookeeper etc., which makes it extremely competent to deliver a wide spectrum of services.

• Hadoop Platforms Becoming More Real-Time: Have you ever thought about how to stream data into a cluster and then analyze it in real-time? Hadoop analytics has the solution for it and it’s proficiencies are becoming more and more real-time. Hadoop also offers a standard approach to a wide group of APIs for big data analytics including MapReduce, database access, query languages etc.

• Economical: Full with such amazing features, Hadoop analytics creates cost benefits through bringing extremely parallel computing to the commodity servers, resulting into a considerable decrease in the cost per terabyte of storage that makes it economical to model all your data. The basic concept behind Hadoop is to carry out cost-effective data analysis online!

• Forthcoming Technologies Making Use of Hadoop: With strengthening its abilities, Hadoop analytics is heading towards extraordinary technical improvements. Hadoop has also started serving as a robust foundation for the new-school graph and NoSQL databases and improved versions of relational databases.

• Hadoop in Cloud: Hadoop is becoming cloudier! Cloud computing and Hadoop are harmonizing in numerous companies to manage the Big Data. Hadoop in cloud will turn out to be one of the most essential apps for cloud computing. This is quite clear from the number of Hadoop clusters provided by the cloud vendors in different businesses across the world. 

By now you have understood why Hadoop is garnering so much recognition! The importance of Hadoop analytics is clear from the fact that there are several global MNCs, which are making use of Hadoop and consider it as an important part of their functioning. So, start using Hadoop analytics platform to manage your Big Data in a much better way.