Big Data Training

The importance of big data and data analytics is going to increase in coming years, as companies realize the need for big data professionals and analytics, the number of these jobs will continue to grow.

by Training@Infoseek

Free

0 Lessons

1 Students

Big Data Training

Big Data Hadoop Training course

Key Features

Big Data analytics requires aptitude in mathematics.

Big Data analytics is driving employment.

Information visualization tools, information warehousing knowledge.

It includes data mining and machine learning methods.

It is the arithmetic of adequacy.

Covers basics of MapReduce, Pig, Hive, HBase, Sqoop and Zookeeper.

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Skills: The most of our courses (depending on the size) integrate appropriate modules like understanding requirements, importance of documentation, popular software/IT processes, nature of IT teams, constraints of budgets and overall structure of projects.

Attitude: This involves aspects of personality, communication, integrity, teamwork, leadership and a high work ethic.

Instructors: Our instructors are well trained in our methodology and the particular area of IT learning. They usually have industry experience and make the learning practical and oriented towards a real work situation.

Screening: We follow an exhaustive screening process to select our students and advise them on a suitable technology stream according to their abilities and interests. This process involves a written test and interview followed by counseling sessions.