1 Pig - Introduction

2 What Describes Apache Pig Best

3 Pig - Parallel Defines

4 Pig - Fly

5 Pig - Philosophy

6 Pig Converts Most Of Its Queries Into Sequences Of Mapreduce Tasks And Executes Them

7 Pig - Modes

8 Pig - How To Start?

9 Pig - How To Run In Local Mode

10 Pig - Does Local Mode Read From Hdfs

11 Pig - Does 'ls' Command List Hdfs Files In Non-Local Mode

12 Pig - Does Local Mode Require The Hadoop Installation

13 Pig - Data Types

14 Pig - Map Data Type

15 Pig - Bag Data Type

16 Pig - Tuple Data Type

17 Pig - Map - Analogy

18 Pig - Bag - Analogy

19 Pig - Tuple - Analogy

20 Pig - Relational Operators - Load, Store and Dump

21 Pig - Lazy Evaluation

22 Pig - Does Execution Start By Store And Dump Operators

23 Pig - Relational Operators - FOREACH

24 Pig - More Operators

25 Pig - Does Filter Support And/Or Logical Operators

26 Pig - Calculate Average Dividend - Hands-on

27 Pig - Summary

28 Pig - Can We Write Commands In A Script And Run It

29 Pig - Is It Only A Client Library?

30 Pig - We Need To Install Both Pig Server As Well As Pig Client

31 Pig - Does Pig Latin Follow Relational Algebra?

32 Pig - Is Pig Latin Object Oriented

33 Pig - If-else Statements

34 Pig - Compile Pig Script

35 Pig - Is The Script Correct

36 Pig - Which Load Statement Is Incorrect

37 Pig - Dataset Persistence

38 Pig - Sample Operator

39 Pig - Join Operator - Question 1

40 Pig - Join Operator - Question 2

41 Pig - Join Operator - Question 3

42 Pig - Join Operator - Question 4

43 Pig - Join Operator - Question 5

44 Pig - Join - Operator - Question 6

45 Pig - Join - Operator - Question 7

46 Pig - Join - Operator - Question 8

47 Pig - Join - Operator - Question 9

48 Pig - Resources