Advantages of Hadoop architecture and how it is used

The use of the Hadoop open source platform can greatly help us to take advantage of external data in order to improve the business strategy. However, it is not in all cases clear to exploit information from external sources.

On the one hand, the current context dominated by widespread digitization, mobile technology and the Internet of Things conducive and, at the same time, promotes technologies capable of extracting value from them. In this task, Hadoop is the undisputed leader when it comes to providing Big Data solutions at low cost, so its use is almost obligatory, although there are other alternatives that we might be interested in valuing.

When assessing whether to use Hadoop, the following keys must be taken into account:

According to Hadoop training institute in Bangalore, Hadoop is the most efficient tool to analyze Big Data: effective and at a low cost. Hadoop allows us to take advantage of unstructured information that we had stored in unused repositories.

Hadoop makes it easy to extract value from big data in real time. Hadoop can (and should) be integrated into the data management ecosystem that works with structured information and, for example, with cloud applications, in order to extract the maximum value from the information.

Hadoop's advantageous architecture

With a host of new and disparate data sources constantly producing information, tools capable of working with them are necessary. Your contribution is essential in order to:

1. Know our customers better.

2. Achieve greater operational efficiency.

3. Maximize the profitability of business assets.

The great advantage that Hadoop offers us is the possibility of analyzing information of all kinds (audio recordings of call centers, images of security cameras, etc.) that the company has stored for a long time, without taking advantage of it.

Hadoop objective: maximize the value of the data. All this unstructured information can be used through efficient data processing that does not require expensive technologies. On the contrary, Hadoop's architecture makes its use possible:

- Thanks to the sum of its core plus the ecosystem that has emerged to improve its functionalities.

- Whenever its architecture is integrated with the rest of the data management technology to achieve a unified whole.

Adding Hadoop to the data processing ecosystem implies a degree of technological maturity that is not always easy to achieve, although as a goal it is a challenge that will provide great rewards. Let's not forget that data is the natural resource of organizations, so quality data will allow both internal processes and strategic decision making to be improved.

It is an unprecedented opportunity to enrich BI processes in an unimaginable way. Although the last assessment made in each case will be the one that advises or not finally its adoption. And, in any case, even deciding not to do so, it is important to know what possibilities it offers us, because at any given time it might be convenient to opt for Hadoop. Not surprisingly, missing the opportunity could be a significant competitive disadvantage, if not impossible to overcome.

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