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Introduction to Big Data and Hadoop

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 Introduction to Big Data and Hadoop

As time has progressed, data has just increased many folds. Big Data is a relatively new terminology that refers to capturing, storing, managing and analysing data that cannot be done using traditional methods. A small website may require MySQL database to store customer records. But for websites like Amazon, Ebay and Google, these companies are giants where traditional data storing and analysing techniques have failed.

These data sets are so complex and large that they require new cutting-edge methods for processing and storing. There is so much data available online and offline, that it would require years to store and analyse it. Hence, new methods and software have to be designed to cope up with such a big change.

What is Hadoop?

Hadoop is an free, and 100% complete open-source software library and framework for distribution and processing of Big Data across clusters of computers through simple programming language. Instead of relying on single server, it is designed to scale up to thousands of servers and disperse data to all systems having their own storage. This decreases data-access time and speeds up data processing and analysis. Another advantage of Hadoop is that all problems can be resolved on application end. This means that the software framework alone can provide solutions at its own layer, reducing time and cost of data processing. As a result, there is a very high tolerance of data error.

Here are some of the features of Hadoop:

  1. Open source – It is open source and completely customized for further changes. It is free to download, distribute and make changes to it.

  2. Framework provided – Hadoop is not just a software but a complete software framework with program, tools and connections.

  3. Distributed data – Data is distributed across clusters of computers, making it less risky for data loss and increases data processing speed.

  4. Huge amount of data – Hadoop has redefined data storage. You can now store huge and complex data and breaking it in blocks.

Hadoop is important in today’s age given the sheer amount of data generated through millions of websites and businesses. Hadoop is low cost, scalable, and provides storage flexibility. This makes Hadoop, an ideal platform to store and manage big Data.

We have seen that commercial software distribution of Hadoop are increasing such as Cloudera and Hortonworks. Today, large organizations should be leveraging the platform of Hadoop.

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Guest Thursday, 22 March 2018

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