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Hadoop & MapReduce Fundamentals (CA126)

249.00


Description

Hadoop: Fundamentals training course is designed to give you the basic overview of the Hadoop framework. The course covers the fundamental concepts to process and analyze large sets of data stored in HDFS. The course also briefly touches the more advanced concepts like Sqoop and Flume for data ingestion. The more details about these advanced concepts is covered under the course Hadoop: Intermediate.

The Hadoop: Fundamentals course is part of a two course series which covers the essential concepts in getting to know Hadoop and the big-data analytics. With increasing digital trend in the world, the importance of big data and data analytics is going to continue growing in the coming years. This course will enable the candidates to explore opportunities in this growing field of digital science.

This course will teach students about Hadoop architecture, ETL, and MapReduce. This course will teach students about Hadoop architecture, ETL, and MapReduce. This course will teach students about Hadoop architecture, ETL, and MapReduce. This course will teach students about Hadoop architecture, ETL, and MapReduce. This course will teach students about Hadoop architecture, ETL, and MapReduce.

Hadoop is becoming an essential tool in the ever-growing Big-Data architecture. This training is designed to benefit:

Software developers and architects working in Big-Data organizations
Business and technical analytics professionals
Senior IT professionals
Data management professionals
Project managers
Data scientists

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