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