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Open new ways of working. Undoubtedly, these characteristics are more than enough reasons to justify the boom that Big Data has had in the business sector in the last ten years. The different technologies that make up Big Data have a wide field of work within companies. At the level of human resources, they encourage the data of job candidates to be crossed with their activity on social networks, in order to know their personal and professional profile.

In this way, even Likewise, with regard to the analysis of consumption, the role of Big Data is also essential. It allows us to base ourselves on the purchasing patterns of users to establish their behavior both in social networks and in virtual and moible number data physical stores. In this way, sales techniques can be improved and offer them the best possible shopping experience, in order to achieve their loyalty. It is also the perfect tool to get cross-selling patterns.



The list of tools to use to deal with the information handled from Big Data is really very long. Some of the best known are Hadoop, Cassandra or Mapreduce. Each of them deals with the different types of data handled by big data: Structured data is data that is well-defined in format and length, so that it can be stored in tables, relational databases, and spreadsheets. The unstructured data is kept as it was collected, so it cannot be broken.