2015
Udemy
5 hours
English
Learn Data Analysis using Pig & Hive the easy way with hands on examples and well explained concepts.
Section 1: Course Introduction
Lecture 1
Introduction
Preview
03:09
Section 2: Introduction to Big Data
Lecture 2
Big Data - What does it mean?
08:06
Lecture 3
Who uses Big Data, the 4Vs and trends
13:10
Section 3: Introduction to Hadoop
Lecture 4
Need & Introduction to Hadoop
10:33
Lecture 5
History & Overview of the Architecture
12:52
Section 4: HDFS & MapReduce overview
Lecture 6
Introduction to HDFS
09:58
Lecture 7
Introduction to the MapReduce Model
09:53
Lecture 8
Introduction to the MapReduce Architecture
15:54
Section 5: Hadoop Installation
Lecture 9
Requirements, Virtual Machine install
10:28
Lecture 10
Install Java, SSH & download Hadoop
18:33
Lecture 11
Hadoop setup modes, configuring conf files
12:53
Lecture 12
Hadoop configure and start HDFS, troubleshooting tips
11:12
Lecture 13
MapReduce Daemons
06:24
Section 6: Hive
Lecture 14
Hive and Pig - Need & Introduction
Preview
04:18
Lecture 15
Hive Introduction
10:06
Lecture 16
Hive Architecture
09:59
Lecture 17
Hive Download & Install
Preview
10:14
Lecture 18
Hive Configuring, Partitions and Buckets
14:59
Lecture 19
Hive Playing Around With Patent Data - Hands On
11:15
Lecture 20
Hive: Some More Querying - Hands On
09:26
Lecture 21
Hive Managed and External Tables
10:41
Section 7: Pig
Lecture 22
Pig Introduction
Preview
10:21
Lecture 23
Pig Setup Modes, Pig Latin and the Grunt Shell
10:56
Lecture 24
Pig Example - Hands On
14:02
Lecture 25
Pig Data Types & Diagnostic Operators - Hands On
10:17
Lecture 26
Pig Operators & User Defined Functions(UDFs)
10:46
Lecture 27
Pig Vs Hive - When to use Which
02:27
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