Big data’s biggest tool Hadoop – is an open-source, Java-based framework used for distributed storage and distributed processing of massive amounts of data, popularly known as Big Data. The recent market report from Google clearly states that almost 84% of the companies have incorporated Big Data, or in the verge of doing so. The report also revealed that the Hadoop Big Data analytics market is projected to grow to USD 40.69 Billion by the year 2021.
With the growing demand for Big Data practices, more people have started considering Apache Hadoop skills as the prerequisite for a challenging and rewarding career, which accordingly has created a stiff market competition for the entry-level and mid-level data analysts.
Depending on the projected market figures and severity of the competition, cracking the Hadoop developer interview is no longer a simple task. It needs a lot of commitment and focused efforts to work on, and you cannot also afford to overlook the importance of Hadoop training in today’s business acumen.
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Though cracking the Hadoop developer interview is a tough task, it can be easily surpassed with committed preparation and little attention on the aspects mentioned in this article.
Let us begin by discussing what is Hadoop development, followed by the job responsibilities and the required skill set of a Hadoop developer. Lastly, a few tips for successfully cracking the Hadoop developer interview will be discussed.
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