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Introduction
Introduction to the Course
Introduction to Apache Pig
Apache Pig Architecture Overview
Pig Latin vs Traditional MapReduce
Core Scenario-Based Questions
Scenario-Based Question: File Modification Handling
How to remove single quotes from data using Pig?
How to compute sum of a field across all rows from an alias?
Difference between GROUP and COGROUP in Pig
Passing file names dynamically to Pig scripts
Exporting Pig output directly to MySQL
Handling empty or missing input files in Apache Pig
Storing output into a single CSV file
Casting values without FOREACH iteration
Scenario-Based Question Multi-File Processing
Date, Memory & Data Transformation
Scenario Based Question Date Handling in Pig
Optimizing GROUP BY in Pig Latin
Handling spill memory issues in Pig
Column-wise transpose operations in Pig
Finding substring presence in Pig
Scenario-Based Question Complex Data Transformations
Removing duplicates using Pig Latin
Including external JAR files in Pig
Referencing columns after JOIN in FOREACH
Scenario-Based Question Time-Series Aggregations
Execution & Internals
Loading multiple files from date-based directory structures
Pig Latin data types
Different ways of executing Pig scripts
Components of Pig Execution Environment
How Pig scripts are converted into MapReduce jobs
Logical plan vs Physical plan
Passing parameters with spaces to Pig scripts
Calculating percentages using Pig
Tracing data lineage in Pig
Checking if a MAP is empty
Understanding Pig Execution DAG
Filtering, Debugging & Optimization
Grouping on expressions in Pig
Counting number of rows from an alias
Difference between == and eq
Preventing failures due to missing columns
Regular expression support in Pig
Numerical comparisons in FILTER
Controlling number of reducers
STORE vs DUMP
Debugging Pig scripts effectively
BloomMapFile usage
EXPLAIN, DESCRIBE, and ILLUSTRATE commands
Advanced Concepts
Limitations of Apache Pig
GROUP vs COGROUP – Deep Dive
Relational operators in Pig
Processing large data in Local Mode – Is it possible?
Complex data types in Pig
Controlling number of mappers
Unicode delimiter handling
Scenario-Based Question: External JAR Conflicts
What is Apache Pig?
Logical vs Physical plan
Pig vs Spark
Joins, UDFs & Performance
Inner bag vs outer bag
COUNT_STAR vs COUNT
Scalar data types
Joining multiple fields in Pig
String functions in Pig
Evaluate UDF – Required method override
Word count program in Pig
Skewed join explained
Passing Hadoop configuration parameters to Pig
Pig Latin vs HiveQL
Map-Side Join vs Reduce-Side Join
Writing Custom UDFs – Best Practices
Advanced Use Cases & Interview Favorites
Multi-line Pig commands
UNION and SPLIT operators with examples
Loading files with different delimiters dynamically
Counting rows in an alias
Pivoting data in Apache Pig
Handling Bad Records & Data Quality in Pig
Error Handling and TRY CATCH patterns in Pig
Pig Performance Tuning Checklist
Pig in Production – Real Interview Scenarios