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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.
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.
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Learn on the go.
Desktop, iOS and Android.
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
|Section 6: Hive|
Hive and Pig - Need & IntroductionPreview
Hive Download & InstallPreview
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 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
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.