Big Data Hadoop Training In Mumbai

Hadoop is a software framework for storing and processing Big Data. It is an open source tool build on java platform and focuses on improved performance in terms of data processing on clusters of commodity hardware. Hadoop comprises of multiple concepts and modules like HDFS, Map-Reduce, HBASE, PIG, HIVE, SQOOP and ZOOKEEPER to perform the easy and fast processing of huge data.

Hadoop is conceptually different from Relational databases and can process the high volume, high velocity and high variety of data to generate value.

OBJECTIVES:

At the end of this Big Data Hadoop training in Mumbai, you will be able to:

• Perform Data Analytics using  Pig & Hive
• Learn to write complex MapReduce programs
• Master advance concepts of Hadoop 2.7

 

WHAT YOU WILL LEARN FROM THIS COURSE:

When you learn Hadoop with us, you get to :

• Master the concepts of Hadoop 2.7 framework and its deployment in a cluster environment
• Hands-on experience in setting up different configurations of Hadoop cluster

 

PREREQUISITES:

• Knowledge of JAVA is essential.

 

COURSE MODULE:

Big Data & Hadoop Training
Module 1: Introduction To Big Data	What is Big Data and need of it. Types of Data Big Data Technology. Big Data – Use Cases. Handling limitations of Big Data.
Module 2: Introduction To Hadoop	Organizations using Hadoop. VMware Player. Oracle VirtualBox to Open a VM. Installing VM using Oracle VirtualBox.
Module 3: Hadoop Architecture	Objectives and Key Terms. Hadoop Cluster Using Commodity Hardware. Hadoop Configuration. Hadoop Core Services. Apache Hadoop Core Components. HDFS—Real-life Connect. HDFS Operation Principle. File System Namespace. NameNode Operation. Data Block Split.
Module 4: Installation of Hadoop	Hadoop Deployment. Installation of Ubuntu Server. Hadoop Installation. Steps for Hadoop Multi-Node Installation. Single-Node Cluster vs. Multi-Node Cluster. Performing Clustering of the Hadoop Environment.
Module 5: MapReduce	What is MapReduce. MapReduce—Analogy. Map Execution. MapReduce and Associated Tasks. Steps to Install Hadoop. Set up Environment for MapReduce Development. Uploading Small Data and Big Data. Build MapReduce Program. Create a New Project.
Module 6: Pig	How Pig works. Data Model. Pig Interactive Modes. Pig Execution Modes. Pig vs. SQL. Installing Pig Engine. Various Pig Command.
Module 7: Hive	What is Hive. Hive–Architecture and Components. Driver. Hive Thrift Server. Basics of Hive Query Language. Data Model—Tables. Data Types in Hive. Hive Query Language. Programming in Hive. Built-In Functions.
Module 8: HBase	Why HBase. HBase Architecture. Storage Model of HBase. Data Storage in HBase. Installation of HBase. Connecting to HBase. HBase Shell Commands.
Module 9: Sqoop	Benefits of Sqoop. Sqoop Execution—Process. Importing Data Using Sqoop. Importing Data to Hive and HBase. Exporting Data from Hadoop Using Sqoop. Sample Sqoop Commands. Install Sqoop. Import Data on Sqoop Using MySQL Database. Export Data Using Sqoop from Hadoop.

Learn Hadoop with Meul Tech . We emphasize on practical sessions rather than theory. This Big Data and Hadoop training in Mumbai course will help students to make a career in Big Data and Hadoop.

 

PLACEMENTS:

We offer unique placement assistance in Big Data Hadoop Training and that is why we are the no 1 Big Data Hadoop training classes in Mumbai. At Meul Tech , we provide interview questions and prepare you for the interview as well. So you’ll get the best placement assistance for Big Data Hadoop.

CERTIFICATION:

At the end of the Big Data Hadoop training course in Mumbai, you will get a Big Data Hadoop certification from Meul Tech Classes which will be very helpful for you in your future. In order to make you an expert, we work on live projects and applications in Big Data Hadoop.

AWARDS:

Meul Tech has been awarded multiple times as the “Most Promising Software Training Institute in Maharashtra” and “Social Impact Award for Outstanding Contribution to Indian Education System” at Education several Award functions.

 

If you are looking for a successful career in Big Data and Hadoop, we invite you to visit our training facility or contact us:

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