Hadoop is an open source distributed processing framework that manages data processing and storage for Big Data applications running in clustered systems. The responsibilities of a Big Data Hadoop Developer range from creation and implementation to maintenance and performance assurance of various forms of structured and unstructured data, giving users more flexibility for collecting, processing and analyzing data using Hadoop. A good Big Data Hadoop Developer should be well versed with the concepts of Hadoop along with the capability of working on various tools of Hadoop like PIG, SQOOP, HIVE etc and hands-on experience in working with SQL.
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This test will help you in measuring:
This is a 60-minutes test aimed at thoroughly evaluating the knowledge, concepts, application and analysis skills of the target audience in Hadoop. The test has 20 items divided into four sections as follows:
Recommended experience bracket of target audience: 1-4 years
Difficulty level: Moderate
Why Use Mettl's Skill Test?
Mettl's Big Data Hadoop Developer Assessment is specially designed to cater to the level of skills that a good beginner to intermediate level Big Data Hadoop Developer would be expected to possess. We can benchmark the test for specific job roles with a vast array of global target audience that have already given the test for that job role.
Key profiles the test is useful for:
Q. Can we benchmark candidates based on our internal sample set?
A. We can do so selectively. Please write to us for such a request and we would be glad to assist.
Q. Can we customize the report to include some specific analysis?
A. We have done so in the past on a client-to-client basis. Please write to us for such a request and we would be glad to work out a solution for you.
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