Has your account of the quantity and diversity of data we produce, access and file on a daily basis? There are many examples of companies that handle large volumes of information daily , however, having data and not knowing how to use them is not enough. And for that, Big Data is by your side!
Keep following this article and see why Big Data is so successful in IT environments and how it contributes to the routines of organizations, governments, and institutions.
What is Big Data?
The Big Data can be understood as a set of very large data, and exactly for this reason, need the help of tools able to arrange them so that all information can be found, analyzed and used in time skilled.
Simply put, the concept can be understood as the analysis of large volumes of data to obtain results that will be of great value in decision making and that, in smaller volumes, would hardly be obtained.
To clarify what we have said so far, we will apply the concept of Big Data in a day-to-day scenario: millions of data are traveling at this very moment in mobile lines around the world, ERP systems integrate sectors of several companies ; countless emails are exchanged every second; countless amounts of purchases are made daily on online sales sites; millions of data are shared in systems of government institutions. There are many examples, and without much effort, you can certainly imagine a few more.
Information is power!
A company that understands how to take advantage of all the data it has at its fingertips, can better understand its target audience and create more objective and efficient marketing strategies , optimize time, produce more and avoid wasting resources.
The factors cited above have great influence on the future of an organization , however, Big Data is a relatively new name. So you have to think: “That means companies have just begun to care about the indispensability of making better use of the information contained in their large databases .” Right?
Not really. The Information Technology departments have for some time been using BI (Business Intelligence) , CRM (Customer Relationship Management) and Data Mining to precisely assist in the treatment of data analysis , decision making and other business features .
The Big Data came to make more efficient and objective applications before used, considering not only large amounts of data , but also the reduction of time analysis , providing these and the relationship with and between these volumes.
The Real Importance of Big Data
The data are part of our day to day since the beginning of time, but nowadays the computational advances allow us to store, organize and analyze this data easily and with a higher frequency.
The trend for the next few years is to further grow data production. Imagine, for example, that in the not too distant future, refrigerators, cars, televisions and dishwashers will be connected to the internet. This forecast is inserted in what is now known as ” Internet of Things “.
We can already see a great evolution compared to previous decades: current technologies have allowed us – and allow – to extraordinarily increase the amount of information in the world and now companies, governments and institutions have to know how to handle this incredible growth of data generated . The Big Data seeks to assist in this task, since the computational tools used so far for the management data are no longer sufficient for the current amount of data .
This volume is so much that, today, a centralized data processing structure no longer meets the demand for most large organizations. Companies like Oracle , IBM and Microsoft have multiple data centers to perform their actions, but maintains them all in an integrated way . It should be noted that despite this partitioning, Big Data acts normally.
What to expect from Big Data?
Still unknown to some IT professionals , Big Data solutions can not be considered 100% perfect, systems of this type are complex and even their definition is still conducive to discussion.
What we say for sure is that, in the current scenario, data volumes are increasing, and the demand for tools – such as Big Data – that help to take advantage of this data is already great.
According to estimates by IBM , around 90% of the world’s data by 2012, were generated in the two previous years. Given this data , it is difficult to believe that Big Data is just another temporary term.