Big Data Training - Global Training Provider

Hadoop Is Such A Big Deal In Big Data

For Hadoop, the biggest motivator in the market is simple: Before Hadoop, data storage was expensive.

Hadoop, however, lets you store as much data as you want in whatever form you need, simply by adding more servers to a Hadoop cluster.
Each new server (which can be commodity x86 machines with relatively small price tags) adds more storage and more processing power to the overall cluster.
This makes data storage with Hadoop far less costly than prior methods of data storage.

Enterprise practitioners believe the potential value of Big Data is significant, but many are struggling to derive maximum value from their investments in related technology. While a majority a Fortune 500 companies have Big Data deployments in production, and a significant percentage of mid-sized enterprises have proof-of-concept and pilot projects underway, We estimate that close to half have not realized the level of value anticipated at their onset.
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The advent of the Web, mobile devices and other technologies has caused a fundamental change to the nature of data. Big Data has important, distinct qualities that differentiate it from �traditional� corporate data. No longer centralized, highly structured and easily manageable, now more than ever data is highly distributed, loosely structured (if structured at all), and increasingly large in volume.

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