Hadoop & MapReduce Fundamentals

Rating 3.75 out of 5 (2 ratings in Udemy)

What you'll learn

Get a basic understanding of the different components of Hadoop ecosystem
Understand and work with Hadoop Distributed File System (HDFS)
Ingest data using Sqoop and Flume
Use HBase, understand its architecture and data storage
Get essential knowledge of Pig and its components
Master resilient distribution datasets (RDD) in detail
Understand the common use cases of Spark and various interactive algorithms
Prepare for Cloudera …

Rating 3.75 out of 5 (2 ratings in Udemy)

What you'll learn

Get a basic understanding of the different components of Hadoop ecosystem
Understand and work with Hadoop Distributed File System (HDFS)
Ingest data using Sqoop and Flume
Use HBase, understand its architecture and data storage
Get essential knowledge of Pig and its components
Master resilient distribution datasets (RDD) in detail
Understand the common use cases of Spark and various interactive algorithms
Prepare for Cloudera CCA175 Big Data certification

Description

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: 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.

Duration 3 Hours 58 Minutes

Paid

Self paced

All Levels

English (US)

Rating 3.75 out of 5 (2 ratings in Udemy)

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