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1 Chapter Overview - Pig & Pig Latin
2 Pig - Introduction
3 What Describes Apache Pig Best
4 Pig - Parallel Defines
5 Pig - Fly
6 Pig - Philosophy
7 Pig Converts Most Of Its Queries Into Sequences Of Mapreduce Tasks And Executes Them
8 Pig - Modes
9 Pig - How To Start?
10 Pig - How To Run In Local Mode
11 Pig - Does Local Mode Read From Hdfs
12 Pig - Does 'ls' Command List Hdfs Files In Non-Local Mode
13 Pig - Does Local Mode Require The Hadoop Installation
14 Pig - Data Types
15 Pig - Map Data Type
16 Pig - Bag Data Type
17 Pig - Tuple Data Type
18 Pig - Map - Analogy
19 Pig - Bag - Analogy
20 Pig - Tuple - Analogy
21 Pig - Relational Operators - Load, Store and Dump
22 Pig - Lazy Evaluation
23 Pig - Does Execution Start By Store And Dump Operators
24 Pig - Relational Operators - FOREACH
25 Pig - More Operators
26 Pig - Does Filter Support And/Or Logical Operators
27 Pig - Calculate Average Dividend - Hands-on
28 Pig - Summary
29 Pig - Can We Write Commands In A Script And Run It
30 Pig - Is It Only A Client Library?
31 Pig - We Need To Install Both Pig Server As Well As Pig Client
32 Pig - Does Pig Latin Follow Relational Algebra?
33 Pig - Is Pig Latin Object Oriented
34 Pig - If-else Statements
35 Pig - Compile Pig Script
36 Pig - Is The Script Correct
37 Pig - Which Load Statement Is Incorrect
38 Pig - Dataset Persistence
39 Pig - Sample Operator
40 Pig - Join Operator - Question 1
41 Pig - Join Operator - Question 2
42 Pig - Join Operator - Question 3
43 Pig - Join Operator - Question 4
44 Pig - Join Operator - Question 5
45 Pig - Join - Operator - Question 6
46 Pig - Join - Operator - Question 7
47 Pig - Join - Operator - Question 8
48 Pig - Join - Operator - Question 9
49 Pig - Resources
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