Special Skills of Big Data

In reality, Big Data is more a matter of techniques and processing results than the data size itself. Therefore, specific skills are needed to use it effectively. There is a widespread shortage of specialized skills in Big Data analysis, particularly for the use of some less mature technologies.


The increasing use of Hadoop and related technologies generates a demand for personnel with very specific skills. The most sought-after profiles are specialists in multivariate statistical analysis, data mining, predictive modeling, natural language processing, content analysis, text analysis and social network analysis. These analysts and scientists work on structured and unstructured data in order to bring new knowledge and information to companies. Platform management professionals are also required to implement, secure, manage and optimize Hadoop clusters.

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Suppliers such as Cloudera, MapR, Hortonworks and IBM offer training on Hadoop, enabling companies to develop their internal skills to meet the challenges of Big Data.
Before making the big leap in this best of worlds, companies must have a clear idea of ​​the goal they are seeking to achieve, so as not to invest in pure waste.

In summary, Big Data extends the limits of existing information security responsibilities by introducing new risks and significant problems.

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