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Hadoop Big Data Training course is an open-source framework for storing and processing big data in a distributed fashion on large clusters of commodity hardware. Essentially, it accomplishes two tasks: massive data storage and faster processing.
Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation
For starters, let's take a quick look at some of those terms and what they mean.
Open source software differs from commercial software due to the broad and open network of developers that create and manage the programs. Traditionally, it's free to download, use and contribute to, though more and more commercial versions of Hadoop are becoming available.
In this case, it means everything you need to develop and run your software applications is provided – programs, tool sets, connections, etc.
Data is divided and stored across multiple computers, and computations can be run in parallel across multiple connected machines.
The Hadoop framework can store huge amounts of data by breaking the data into blocks and storing it on clusters of lower-cost commodity hardware.
How? Hadoop BigData processes large amounts of data in parallel across clusters of tightly connected low-cost computers for quick results.
With the ability to economically store and process any kind of data (not just numerical or structured data), organizations of all sizes are taking cues from the corporate web giants that have used Hadoop to their advantage (Google, Yahoo, Etsy, eBay, Twitter, etc.)