Data Analysis Made Easy - Learn Hive & Pig

Learn Data Analysis using Pig & Hive the easy way with hands on examples and well explained concepts.
1.9 (6 ratings)
Instead of using a simple lifetime average, Udemy calculates a
course's star rating by considering a number of different factors
such as the number of ratings, the age of ratings, and the
likelihood of fraudulent ratings.
689 students enrolled
Instructed by Abhishek Roy Development / Databases
Take This Course
  • Lectures 27
  • Length 4.5 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
Wishlisted Wishlist

How taking a course works


Find online courses made by experts from around the world.


Take your courses with you and learn anywhere, anytime.


Learn and practice real-world skills and achieve your goals.

About This Course

Published 5/2015 English

Course Description

This course teaches you Hadoop, Pig, Hive and Apache Mahout from scratch with an example based and hands on approach.

Master the Fundamental Concepts of Data Analysis using Hive & Pig.

  • Understand the Big Data & Apache Hadoop landscape
  • Understand Analytics with Hadoop using Pig and Hive
  • Get hands on on Hive and Pig with step by step examples of data querying and mining

Big Data & Data Analysis

No Prior knowledge of Hadoop, Hive or Pig is expected. A little bit if procedural programming and querying experience will go a long way in deriving real value out of this amazing course. Learn the easy to use Hive and Pig technologies and land up with prestigious and well-paying Big Data Analyst jobs.

Contents & Overview

Through 19 lectures and 3 hours of content, we will take a step-by step approach to understanding & learning Data Analysis using Hive & Pig.

The first few topics will focus on the rise of Big Data and how Apache Hadoop fits in. We will focus on the fundamentals of Hadoop and its core components: HDFS and Map Reduce.

Once we have a solid foundation of Hadoop and the ecosystem, we will dive into the crux of this course - higher level components of the Hadoop ecosystem: Hive and Pig. We will go into the details of both Hive and Pig by installing them and working with examples. Hive and Pig can make your life easy by shielding you from the complexity of writing MR jobs and yet leveraging the parallel processing ability of the Hadoop framework.

After taking this course, which includes slides, examples, code and data sets, you will be at ease with analyzing data with Hive and Pig. So go ahead and enroll to crack that Big Data Analyst interview.

What are the requirements?

  • No prior knowledge of Big Data and related technology is required. The coruse gives you a primer to Big Data and Hadoop
  • Basic knowledge of procedural programming and querying will be helpful

What am I going to get from this course?

  • Learn & apply Hive and Pig to analyze all kinds of data.
  • Confidently appear for Big Data Analyst interviews and crack them with ease
  • Pick up advanced concepts of data analysis and mining using Big Data technologies
  • Give an impressive talk/presentation to their peers / boss on Hive and Pig

Who is the target audience?

  • This course is the beginner's guide to data analysis using Hive & Pig.
  • If you are looking to jump start your career and want to land up a data analyst position, take this course
  • If you don't know Java but want to learn Hadoop and extract value out of it, this course is ideal for you
  • If you want to learn Map Reduce, this course is not for you

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.


Section 1: Course Introduction
Section 2: Introduction to Big Data
Big Data - What does it mean?
Who uses Big Data, the 4Vs and trends
Section 3: Introduction to Hadoop
Need & Introduction to Hadoop
History & Overview of the Architecture
Section 4: HDFS & MapReduce overview
Introduction to HDFS
Introduction to the MapReduce Model
Introduction to the MapReduce Architecture
Section 5: Hadoop Installation
Requirements, Virtual Machine install
Install Java, SSH & download Hadoop
Hadoop setup modes, configuring conf files
Hadoop configure and start HDFS, troubleshooting tips
MapReduce Daemons
Section 6: Hive
Hive and Pig - Need & Introduction
Hive Introduction
Hive Architecture
Hive Download & Install
Hive Configuring, Partitions and Buckets
Hive Playing Around With Patent Data - Hands On
Hive: Some More Querying - Hands On
Hive Managed and External Tables
Section 7: Pig
Pig Introduction
Pig Setup Modes, Pig Latin and the Grunt Shell
Pig Example - Hands On
Pig Data Types & Diagnostic Operators - Hands On
Pig Operators & User Defined Functions(UDFs)
Pig Vs Hive - When to use Which

Students Who Viewed This Course Also Viewed

  • Loading
  • Loading
  • Loading

Instructor Biography

Abhishek Roy, Experienced Big Data trainer, technologist & entrepreneur

With over 11 years of tech industry experience, I have been lucky to pick the brains of some of the best minds in tech and have been learning and teaching Big Data and related technologies for about 4 years now. Post becoming an entrepreneur at FeetApart, I have learnt the value of time and truly believe learning something you are passionate about is the best investment of time. I have a passion for teaching/sharing that you will see in my lectures and I go the extra mile when needed. I love long distance running and inspiring others to pick it up.

Ready to start learning?
Take This Course