Hadoop Development Training
- 20 Days Online Training
- 20 Days Classroom Training
- Free Training
Released on 2005 by Apache, Hadoop is a collection of open-source software utilities for big data analytics. Hadoop was developed to work on multiple computers to solve problems involving massive amount of data and computation.

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Description
MapReduce and Hadoop Common are other important skills to be master by the Hadoop developer. Our training focuses on providing details and in-depth understanding of these concepts with real-time case studies to help students to better understand the concept.
YARN focuses on resource management application and software development, which helps the Hadoop applications to store data and run analytical applications.
Apart for these fundamental hadoop development concepts, the training also focuses on a multitude of new libraries, frameworks and utilities that has been introduced into Hadoop over the years. These additions have helped enhance the overall functionalities of the software.
Engineer Graduates
Working IT professional from programming, web development and DBA fields
Software programmers
JAVA developers
Hadoop Development Course Curriculum
Duration: 30 Days
- Introduction to Big Data & Big Data Challenges
- Limitations & Solutions of Big Data Architecture
- Hadoop & its Features
- Hadoop Ecosystem
- Hadoop 2.x Core Components
- Hadoop Storage: HDFS (Hadoop Distributed File System)
- Hadoop Processing: MapReduce Framework
- Different Hadoop Distributions
- Core components of Hadoop
- Understanding Hadoop Master-Slave Architecture
- Learn about Name Node, Data Node, Secondary Node
- HDFS Architecture
- HDFS Blocks
- HDFS Replication
- Load balancing
- Heart beat mechanism
- HDFS Write flow
- HDFS Read flow
- MapReduce Architecture Flow
- Job Tracker and Task Tracker
- Hadoop 2.x Cluster Architecture
- Federation and High Availability Architecture
- Hadoop Cluster Modes
- Common Hadoop Shell Commands
- Hadoop 2.x Configuration Files
- Single Node Cluster & Multi-Node Cluster set up
- Traditional way vs MapReduce way
- Why MapReduce
- Overview of the MapReduce Framework
- Use cases of MapReduce
- Introduction to Apache Pig
- MapReduce vs Pig
- What is Hive
- Hive vs Pig
- Hive Architecture & Components
- Difference between Hive and RDBMS
- Hive Tables (Managed Tables and External Tables)
- Hive DDL – Create/Show Database
- Hive DDL – Create/Show/Drop Tables
- Hive DML – Load Files & Insert Data
- Hive SQL – Select, Filter, Join, Group By
- Joins
- Hive Partition
- Hive Bucketing
- Hive Script
- Hive UDF
- Sqoop – How Sqoop works
- Sqoop Architecture
- Sqoop import
- Sqoop export
- Limiting Results
- Improving Sqoop’s Performance
- Sqoop job
- Oozie
- Oozie Components
- Oozie Workflow
- Scheduling Jobs with Oozie Scheduler
- Demo of Oozie Workflow
- Oozie Coordinator
- Oozie Commands
- Oozie Web Console
- Oozie for MapReduce
Certification
Quality Thought’s Hadoop Development Certification Process:
- Quality Thought will provide a certificate to the students who successfully completed their Hadoop Development training. The certification will be provided within one week of the training completion.
- The certification will be given to the students who have successfully completed their projects and assignments on time.
Frequently asked questions
1. Attending the same session in another batch if student is attending classroom based session.
2. For online sessions, recording of the classes can be accessed by the student at all time to help revisit and listen the sessions missed out.
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Hadoop Development Training Reviews
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