Big Data Hadoop Training Course

Big Data Hadoop Professional Training Program is curated by Hadoop experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, and Pig.

What will i learn?
  • Role of Relational Database Management System (RDBMS) and Grid computing
  • Concepts of MapReduce and HDFS
  • Using Hadoop I/O to write MapReduce programs
  • Develop MapReduce applications to solve the problems
  • Set up Hadoop cluster and administer
  • Hive, a data warehouse software, for querying and managing large datasets residing in distributed storage
  • Use of Sqoop in controlling the import and consistency
  • Spark, Spark SQL, Streaming, Data Frame, RDD, GraphX and MLlib writing Spark applications
  • Hadoop testing applications using MRUnit and other automation tools
  • Configuring ETL tools like Pentaho/Talend to work with MapReduce, Hive, Pig, etc.
Description

Big Data and Hadoop training is essential to understand the power of Big Data. The training introduces about Hadoop, MapReduce, and Hadoop Distributed File system (HDFS). It will drive you through the process of developing distributed processing of large data sets across clusters of computers and administering Hadoop. The participants will learn how to handle heterogeneous data coming from different sources. This data may be structured, unstructured, communication records, log files, audio files, pictures, and videos.

BIT’s Big Data Hadoop training program helps you master Big Data Hadoop Administration. In this Big Data course, you will master MapReduce, Hive, Pig, Sqoop, Oozie and Flume and work with Amazon EC2 for cluster setup, Spark framework and RDD, Scala and Spark SQL etc. The Big Data Hadoop professional training is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark. In this hands-on Hadoop course, you will execute real-life, industry-based projects using Integrated Lab. Big Data is one of the accelerating and most promising fields, considering all the technologies available in the IT market today. In order to take benefit of these opportunities, you need a structured training with the latest curriculum as per current industry requirements and best practices. Besides strong theoretical understanding, you need to work on various real world big data projects using different Big Data and Hadoop tools as a part of solution strategy. Additionally, you need the guidance of a Hadoop expert who is currently working in the industry on real world Big Data projects and troubleshooting day to day challenges while implementing them.

For more inquiries, visit our near BIT Training center or e-mail on inquiry@bitbaroda.com or visit one of the BIT Training Centers located in Vadodara (Manjalpur, Sayajigunj, Waghodiya).

Requirements
  • The candidates with basic understanding of computers, SQL, and elementary programing skills in Python are ideal for this training.
Other related courses
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Hadoop Data Analytics training course explains how to apply data analytics and business intelligence skills to Big Data.
BIT's extensive Big Data Hadoop Architect training is curated by Hadoop experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools such as Spark, Scala, Splunk, Storm, Kafka and Cassandra.

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