The two courses are certainly complementary

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o turn to high technology dedicated to storing and processing colossal quantities of data such as Hadoop and Spark. Apart from these purely technical aspects, there is one last major difference between the two. It is simply the skills and profiles of the experts working on the project, which will also influence the recruitment for the latter. Thus, for an IT project, companies will be keen to recruit traditional developers, system administrators, IT project managers, etc. because the skills required concern the management of IT systems and traditional software development . While recruitment for a Big Data projec cambodia phone data t will focus on specialist profiles: data engineers, data scientists, data architects, or even experts in machine learning and AI. As a result, the degrees and training sought will be different. Where IT companies will recruit from IT school, Big Data will find their future employees from specialized data training courses, Data Science MBAs , or data engineering.

and benefit from a common core of skills, but ultimately specialization is obligatory given the breadth of areas covered during these courses .



Solutions to accelerate IT industrialization
Although mandatory, the IT industrialization phase is not necessarily long and tedious as long as it is well organized upstream and certain important steps are respected.

As we said above, the most important aspect of Data or IT industrialization is project management. By using the right tools from the project design stage, it will be