Bigdata Hadoop DeveloperCourse Duration: 30 Hr

Selfpaced Tech is the leader in Bigdata Hadoop Developer online training courses. We provide quality of online training and corporate training courses by real time faculty and well trained software specialists. Our Bigdata Hadoop Developer online training is regarded as the best training by students who attended Bigdata Hadoop Developer online training with us. All our students were happy and able to find Jobs quickly in India, Singapore, Japan, Europe, Canada, Australia, USA and UK. We provide Bigdata Hadoop Developer online training in India, UK, USA, Singapore and Canada etc..

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Course Description

This course is designed for developers and engineers who have programming experience, but prior knowledge of Hadoop is not required. Upon completion of the course, attendees are encouraged to continue their study and register for the CCA Spark and Hadoop Developer exam. Certification is a great differentiator. It helps establish you as a leader in the field, providing employers and customers with tangible evidence of your skills and expertise.

Course Price: $ 500 $ 450


Live online instructor led sessions by industry veterans. Industry renowed training to boost your resume.
Incredible practicals, workshops, labs, quiz and assignments. Personalized one to one career discussion with the trainer.
Real life case studies and live project to solve real problem Mock interview & resume preparation to excel in interviews
Lifetime access to course, recorded sessions and study materials Premium job assistance and support to step ahead in career


  • Working professionals, managers and recent graduates are eligible for the program. We do not specify any academic background requirements.
  • Elementary programming skills.
  • Linux Operating system.


  • What is Big Data?
  • Examples of Big Data
  • Reasons of Big Data Generation
  • Why Big Data deserves your attention
  • Use cases of Big Data
  • Different options of analyzing Big Data
  • What is Hadoop
  • History of Hadoop
  • How Hadoop name was given
  • Problems with Traditional Large-Scale Systems and Need for Hadoop
  • Understanding Hadoop Architecture
  • Fundamental of HDFS (Blocks, Name Node, Data Node, Secondary Name Node)
  • Rack Awareness
  • Read/Write from HDFS
  • HDFS Federation and High Availability
  • Setting up single node Hadoop cluster(Pseudo mode)
  • Understanding Hadoop configuration files
  • Hadoop Components- HDFS, MapReduce
  • Overview Of Hadoop Processes
  • Overview Of Hadoop Distributed File System
  • The building blocks of Hadoop
  • Hands-On Exercise: Using HDFS commands
  • Understanding Map Reduce
  • Job Tracker and Task Tracker
  • Architecture of Map Reduce
  • Map Function
  • Reduce Function
  • Data Flow of Map Reduce
  • How Map Reduce Works
  • Anatomy of Map Reduce Job (MR-1)
  • Submission & Initialization of Map Reduce Job
  • Assigning & Execution of Tasks
  • Monitoring & Progress of Map Reduce Job
  • Hadoop Writable and Comparable
  • Introduction to Apache Hive
  • Architecture of Hive
  • Installing Hive
  • Hive data types
  • Hive-HQL
  • Types of Tables in Hive
  • Partitions
  • Buckets & Sampling
  • Indexes
  • Views
  • Executing hive queries from Linux terminal
  • Executing hive queries from a file
  • Creating UDFs in HIVE
  • Hands-On Exercise


  • Introduction to Apache Pig
  • Install Pig
  • Architecture
  • Data types
  • Working with various PIG Commands covering all the functions in PIG
  • Working with un-structured data
  • Working with Semi-structured data
  • Creating UDFs
  • Hands-On Exercise
  • Introduction to SQOOP& Architecture
  • Installation of SQOOP
  • Import data from RDBMS to HDFS
  • Importing Data from RDBMS to HIVE
  • Exporting data from HIVE to RDBMS
  • Hands on exercise
  • Introduction to HBASE
  • Installation of HBASE
  • Exploring HBASE Master & Region server
  • Exploring Zookeeper
  • CRUD Operation of HBase with Examples
  • HIVE integration with HBASE
  • Hands on exercise on HBASE


The tools you’ll need to attend training are:
  • Windows: Windows XP SP3 or higher
  • Mac: OSX 10.6 or higher
  • Internet speed: Preferably 512 Kbps or higher
  • Headset, speakers and microphone: You’ll need headphones or speakers to hear instruction clearly, as well as a microphone to talk to others. You can use a headset with a built-in microphone, or separate speakers and microphone.
The trainings are delivered by highly qualified and certified instructors with relevant industry experience.

People from various domains with no prior knowledge of this technology have got successfully trained with us and are now working in the this industry. Though, knowledge of basics is an added advantage.

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