Keys to knowing if it is worth using Hadoop

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Discover why Hadoop offers businesses an unprecedented opportunity to enrich BI processes and the 4 tips for deciding on its adoption.
Using the open source platform Hadoop can greatly help us to take advantage of external data in order to improve business strategy . However, it will not always be advisable to exploit information from external sources.
On the one hand, the current context dominated by widespread digitalisation, mobile technology and the Internet of Things encourages and, at the same time, drives technologies capable of extracting value from them. In this regard, Hadoop is the undisputed leader when it comes to providing low-cost Big Data solutions , so its use is almost obligatory, although there are other alternatives that we might be interested in considering.

When evaluating whether to use Hadoop, there are a few key considerations to consider:

Hadoop is the most efficient tool for analyzing Big Data : fusion database and at low cost.

Hadoop allows us to take advantage of unstructured information that we had stored in repositories without using.

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 maximum value from the information.


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The advantageous architecture of Hadoop
With a myriad of new and disparate data sources constantly producing information, tools capable of working with them are needed. Their contribution is essential to be able to:

Get to know our customers better.

Achieve greater operational efficiency.

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



Hadoop Objective: Maximize the Value of 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 it possible to use it: