Following are two core areas of Big Data represented in the diagram above. We shall look into technologies as well as people aspect of each of the core areas in detail, later in this article.
Data engineering includes following as key functional areas along with key technologies mentioned side-by-side:
All of the above tasks may require data engineer with good knowledge of Hadoop technology stack. One may note that this part if comparatively easier than the data science.
Once done with data engineering phases, the data analysis phase starts in which some of the following technologies (frameworks) come very handy:
The person working in data analysis phase need to be strong with following skills:
This person can also be called as “Data Scientist” and is very much in demand as to find a person with above skills is a difficult task.
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