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Big Data Hadoop Development Training

Hadoop Big Data Training course helps you learn the core techniques and concepts of Big Data and Hadoop ecosystem. It equips you with in-depth knowledge of writing codes using MapReduce framework and managing large data sets with HBase. The topics covered in this course mainly includes- Hive, Pig and setup of Hadoop Cluster.

After the completion of the Big Data and Hadoop Course at UGS, you should be able to:

  • Master the concepts of Hadoop Distributed File System and MapReduce framework
  • Setup a Hadoop Cluster
  • Understand Data Loading Techniques using Sqoop and Flume
  • Program in MapReduce (Both MRv1 and MRv2)
  • Learn to write Complex MapReduce programs
  • Program in YARN (MRv2)
  • Perform Data Analytics using Pig and Hive
  • Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing
  • Have a good understanding of ZooKeeper service
  • New features in Hadoop 2.0 -- YARN, HDFS Federation, NameNode High Availability
  • Implement best Practices for Hadoop Development and Debugging
  • Implement a Hadoop Project
  • Work on a Real Life Project on Big Data Analytics and gain Hands on Project Experience

Pre-requisites:

You should have knowledge of programming in C++ or Java or any other Object Oriented Programming language

Hadoop Development Course

Understanding Big Data

  • Introductions and course logistics
  • Course objectives

Introduction to VMware Virtualization

  • Big Data Characteristics
  • Velocity, Volume & Variety
  • Structured and Unstructured Data
  • How do Big Data add value to traditional applications?
  • How Big Data complements BI systems and DW processes
  • Present day scenario about BI/Analytics
  • How Analytics add value to Big Data?
  • Application and use cases of Big Data
  • Industry examples and Common use cases

MapReduce Framework

  • Programming paradigms
  • Functional programming Vs. Others
  • MapReduce overview
  • Pros & Cons of MapReduce
  • Running MapReduce Jobs
  • Basic MapReduce Programs
  • MapReduce Data Flow
  • Anatomy of a MapReduce Job
  • Legacy MR & MR v2 (YARN)
  • Combiners, Partitioners, Counters
  • Input & Output file formats

Apache Pig

  • Installation & Configuration
  • Running PigScripts
  • Understanding Execution Flow

Apache Hive

  • Installation & Configuration
  • Running Hive
  • Understanding Execution Flow in Hive
  • Differences between Hive and Pig

Course Deliverables

  • Hadoop Installed VM
  • Course Material includes
  • Graphically Rich Presentations
  • Cheat sheets
  • Reference Cards
  • Supplementary Material
  • Lecture Notes
  • Code and Data Sets

United Global Soft Key Features

Expert Instructors

Practical Implementation

Real- time Case Studies

Certification Guidance

Resume Preparation

Placement Assistance

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