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BIG DATA AND HADOOP

Course Info


This Big Data and Hadoop Certification course is designed to ensure that you are job ready to take up an assignment in Big Data. This training not just equips you with essential skills of Hadoop, but also gives you the required work experience in Big Data Hadoop through real life case studies. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment. You’ll feel empowered to have conversations about big data and the data analysis processes by having in-depth knowledge of core concepts that will be covered in the course.

Learn to:

  • Understand HDFS and MapReduce framework
  • Understand Hadoop Architecture & its components
  • Setup Hadoop Cluster
  • Write Complex MapReduce programs
  • Perform data analytics using Pig and Hive
  • Work on a real life Project on Big Data Analytics

calendar_logo Approx 2 months.
members_logo 250 Enrollments (and counting)

Course Syllabus

Introduction to Big Data
  • What is Big data & its challenges
  • Current database and Analytics architecture
  • Hadoop and its ecosystem
Hadoop
  • Hadoop configuration
  • Hadoop cluster architecture
  • Fault tolerance
HDFS- Hadoop Distributed File System
  • Fundamental of HDFS (Blocks, NameNode, DataNode, Secondary Name Node)
  • Rack Awareness
  • File Read and write in Hadoop
  • HDFS Command line interface
  • Common Hadooop Shell Commands
MapReduce
  • Job Tracker and Task Tracker
  • Data processing using Map Reduce
  • MapReduce DataFlow
  • Anatomy of MapReduce Job
  • Demo of MapReduce program
  • YARN and its need
  • YARN architecture
  • Failure handling in YARN
Hadoop Programming Languages like Pig & Hive
  • Pig data flow engine
  • Pig and Hadoop Cluster
  • Pig Interpreter and MapReduce
  • Pig Relations and Data Types
  • Example to demonstrate Pig
  • Hive and its architecture
  • HiveQL
  • Querying data using HiveQL – Sorting, Aggregation, Joins, views
  • Writing User defined functions in HQL
HBase and NoSQL
  • NoSQL Basics
  • Why and where it is used
  • Example of implementation using NoSQL
  • Fundamentals of HBase and usage scenario
  • Basic commands and implementation with example

About Faculty





Harshwardhan Kulkarni
MCA and 4 years of Industry experience in IT. He has worked majorly on Big Data and Hadoop technologies and has accumulated vast amount of knowledge with Hard work and Passion

Course Briefing

In this Specialization, you will develop a robust set of skills that will allow you to process, analyze, and extract meaningful information from large amounts of complex data. This course is aimed at all the individuals who are looking to make a career in IT industry.

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