Reasons behind Increasing Importance of Big Data on Hadoop for Business Enterprises

Hadoop is one of the best open source big data platforms which have now become synonymous for storing and analyzing massive sets of data. But why exactly has Hadoop become such a significant force in big data & analytics, and what really makes it so unique and important?

When it comes to BI on Hadoop, the biggest motivator in the market is quite easy: prior to Hadoop, data storage was very costly. Hadoop allows enterprises to store huge amounts of data cost effectively in any form you require, just through adding more servers to the Hadoop cluster. Every new Hadoop server adds more data storage and even more processing power to the entire cluster, which makes big data storage with Hadoop far less expensive compared to conventional methods of data storage.

How Big Data on Hadoop is breaking Down the Silos?

Hadoop’s storage technique makes use of a distributed file system, which maps the data wherever it gets stored in a cluster on the Hadoop servers. The BI tools on Hadoop to process that data are also circulated, often positioned on the same servers wherein the data is being stored, which makes the data processing faster.

Hadoop enables the business enterprises to store the data much more economically, which means that Hadoop allows the business enterprises to store their entire data, rather than just the down-sampled portions. All the Big Data can be easily accessed and analytics can be performed whenever required.

The Key Reasons behind Amplifying Importance of Big Data on Hadoop for Business Enterprises:

• Huge Data Storage: 

The advanced big data tools on Hadoop allow business owners to store and process massive amounts of data easily and quickly. With big data volumes constantly increasing, particularly from web logs, customer interactions and the Internet of Things (IoT), Hadoop make it easier for business enterprises to store their ever-increasing data systematically.

• Calculating Power:

Hadoop's distributed calculation model enables business enterprises to processes big data quickly. The more computing nodes business enterprises make use of, the more processing power your company will have.

• Fault Forbearance:

Big Data and application processing are absolutely secured against the hardware failure. If one node goes down then, the work is automatically redirected to the other nodes for ensuring that the distributed computing is successful. This allows storing multiple copies of all the data automatically.

• Economical:

Hadoop’s open-source framework is absolutely free and makes use of the commodity hardware to store huge quantities of big data.

• Scalability:

Business enterprises can easily expand their system for managing more data just through adding nodes.

For this Kyvos Insights’ technology leverages the distributed storage and processing of big data on Hadoop for enabling the analysts to awl down to the lowest granular level. Analyze your entire data and determine insights and trends which you might not have found before.