In a short time we have witnessed a profound mutation of the business landscape in terms of data management . If just two decades ago, data management in the terms we present it today did not even appear among corporate priorities, in just a few years data has not only gained much greater importance, but has become the most jealously valued asset. saved by companies of all types and sectors. However, as we have pointed out on different occasions, the evolution of Big Data today requires overcoming the current state of isolation, jealousy and atomization, and betting on intercorporate collaboration to face the new challenges that the near future poses to management. of data. data_management-1 New needs for data management It is estimated that in the next two years the business volume associated with Big Data and data analysis and management solutions will multiply by 6 , increasing at a sustained rate of more than 25% and exceeding the figure of 40 billion Dollars.
Clearly, a source of business opportunities that has provoked the first strategic moves by large companies, a path that smaller organizations will surely soon follow. A path that aims to lead to greater use of Big Data and the enormous amount of data that not only accumulates today in corporate databases, but is estimated to grow exponentially over the next five India Part Time Job Seekers Phone Number List years and that requires, to do so, , the establishment of contacts, pacts and alliances between companies that offer complementary products and services. The example in this case comes to us from the United States, from the hand of IBM , General Electric , Verizon (one of the leading companies in the telephone sector in the US) and other corporations that signed the agreement by which establishes an alliance between them, with the immediate objective of establishing parameters and standards for the use of the hadoop platform , and the medium-term goal of designing joint offers of new products and services.
In this sense, IBM offers the InfoSphere Big Insights solution , an industry-standard Hadoop offering that allows companies to manage, analyze and deploy big data in a cost-effective way. It is evident that large corporations have understood the extent to which collaborative work results in better use of the available data, not only in terms of analysis and management for their own purposes and particular uses, but also (and very especially) for the exploitation of new business opportunities , which will only be possible to exploit by designing joint, efficient, comprehensive and effective solutions to the new needs of clients and consumers. As a lesson to be learned from what emerges between the lines, we can add that the times in which Big Data grew freely and without apparent control are behind us; With these new alliances, a clear and obvious objective is also pursued: laying the foundations for establishing standardization criteria , guiding and controlling the growth of Big Data. This, which to a certain extent may seem like a novelty, has long been on the horizon of Big Data possibilities, something that lies between myth and reality (to learn in detail about other myths and truths on the subject, we recommend the free guide The 15 Myths of Big Data ) has overcome obstacles and difficulties to finally find the path to its effective realization.