The concept of big data was born with a specific objective. Specifically, it seeks to cover unmet needs, in the state of science, related to the storage or processing of data. However, not just any type of data, but data that was characterized by its volume, variety and transmission speed.
What is Big Data and what is it for?
The technology behind big data is Apache Hadoop, understood as a distributed operating system that is capable of processing large volumes of data in parallel using normal hardware.
Within big data, structured, unstructured and semi-structured data are distinguished. However, most of the data is unstructured. In this sense, it is estimated that only 5% of the data produced by a , correspond to the other two categories. And this is precisely where Hadoop comes in handy.
The function of big data, for its part, is to allow companies to generate new business or simply improve the existing one, as a result of data analysis.
Previously, it was not done because there was no technology capable of taking advantage of this huge amount of data, so many companies that had invested money to obtain it, simply disposed of it, removing their data history.
On the other hand, at first it was considered that big data was useful for companies with very large amounts of data. Nowadays it is clear that SMEs or small companies, with specific needs, can also benefit from Big data.
In addition, taking into account that the volume of data grows exponentially, it seems logical to think that new tools will appear to be able to analyze them.
Finally, it must be clear that the analyzes carried out with Big data technology must guarantee compliance with current regulations on the protection of personal data.
Currently, the information systems of companies are in charge of collecting all the information and putting it into value to improve decision-making in organizations. Discover all the information about these systems.
Information systems