Apache Pig | Live Big Data Scripting & Data Flow Course

Master Apache Pig — Instructor-led Live Online Training for Big Data Engineers

Apache Pig Training by Laliwala IT is designed for data engineers, big data developers, and analytics professionals who want to master Pig Latin scripting for data transformation on Hadoop. Based in Ahmedabad, Gujarat, India, we deliver live, interactive, project-based training covering Pig Latin, data flow operations, UDF development, optimization techniques, and integration with the Hadoop ecosystem.

Our online Apache Pig course features real-time instructor-led classes, hands-on coding labs, flexible schedules, and career guidance. Whether you're a beginner or experienced professional, this training will turn you into a skilled Pig developer ready for big data projects.

Course Modules — Comprehensive Apache Pig Training (4-5 Weeks | 35+ Hours)

Module 1: Introduction to Apache Pig & Hadoop – Pig vs MapReduce vs Hive, Pig architecture, execution modes (Local & MapReduce), installation & setup
Module 2: Pig Latin Basics – Data types, field definitions, loading/storing data, simple transformations, FOREACH, FILTER, LIMIT, ORDER
Module 3: Grouping & Joins – GROUP operator, COGROUP, JOIN types (inner, outer, self), CROSS, nested operations
Module 4: Complex Data Types – Tuples, bags, maps, nested structures, flattening, operating on complex data
Module 5: Built-in Functions & Macros – String functions, math functions, eval functions, bag/tuple functions, creating macros for reusability
Module 6: User Defined Functions (UDFs) – Writing UDFs in Java/Python, Eval UDFs, Filter UDFs, Load/Store UDFs, UDF registration & usage

Module 7: Pig Advanced Operations – SPLIT, STREAM, SAMPLE, PARALLEL, DISTINCT, UNION, debugging Pig scripts
Module 8: Optimization & Performance Tuning – MapReduce job optimization, combiner usage, data locality, compression, parallelism tuning, explain plan analysis
Module 9: Pig Integration with Hadoop Ecosystem – Pig with HDFS, HBase, Avro, Parquet, SequenceFile, integration with HCatalog & Hive
Module 10: Pig in Production – Running Pig scripts via Grunt shell, Pig Server, Pig with Oozie workflow, scheduling, error handling, logging
Module 11: Real-world Use Cases – Log analysis, ETL pipelines, data cleansing, clickstream analysis, recommendation systems preparation
Module 12: Capstone Project – Build an end-to-end data processing pipeline using Pig for a real business scenario

What's Included in Apache Pig Training?

Live Instructor-led classes (real-time Q&A, script walkthroughs, debugging sessions)
Recorded sessions for revision anytime
Hands-on coding labs on Hadoop clusters
Study materials (PDFs, Pig scripts, UDF code samples)
Certificate of completion (recognized by industry partners)
Placement assistance – resume & interview prep, big data role guidance
Lifetime access to course updates and student community

Detailed Curriculum Highlights

Week 1-2: Pig Latin Fundamentals & Data Transformations

HDFS architecture overview, MapReduce basics for context
Pig installation, configuring Hadoop for Pig, Grunt shell commands
Loading data from HDFS/Local: LOAD, USING, PigStorage, TextLoader, JsonLoader
Schema definition: specifying data types, handling missing values
Basic transformations: FOREACH with expressions, alias assignment
Filtering data: FILTER with complex conditions, Boolean operators
Sorting and limiting: ORDER BY, LIMIT, ascending/descending
GROUP operator: grouping by single/multiple keys, understanding nested bags

Week 3-4: Joins, Complex Data & UDF Development

JOIN types: inner join, left/right/full outer join, joining multiple datasets
COGROUP for analyzing grouped data from multiple relations
CROSS product, UNION, DISTINCT operations
Working with complex data: nested bags, flattening, map lookups
Built-in functions: CONCAT, SUBSTRING, UPPER, LOWER, REGEX_EXTRACT, TOKENIZE
Creating macros for reusable Pig logic
Writing Java UDFs: extending EvalFunc, FilterFunc, implementing exec() method
Registering UDFs, using UDFs in Pig Latin scripts

Week 5-6: Optimization, Integration & Capstone Project

Pig optimization techniques: using PARALLEL, combining small files, compression
EXPLAIN plan: understanding logical/physical/execution plans
ILLUSTRATE for debugging and testing Pig scripts
Integration with HCatalog: accessing Hive tables, schema management
Pig with HBase: reading/writing HBase tables via HBaseStorage
Avro & Parquet support: efficient columnar storage integration
Pig with Oozie: scheduling Pig workflows, coordinating jobs
Capstone Project: build a complete ETL pipeline for clickstream log analysis

Real-World Projects & Use Cases

Web server log analysis: parsing, filtering, aggregating traffic metrics
Data cleansing pipeline: handling missing values, standardizing formats
Customer purchase history analysis: joins, grouping, ranking
Sensor data processing: time-series aggregation, anomaly detection preparation
Social media data analysis: sentiment preprocessing, user engagement metrics
Retail data ETL: product sales aggregation, inventory reporting
Project: Build a recommendation data preparation pipeline

Why Choose Laliwala IT for Apache Pig Online Training?

Industry Expert Trainers: 10+ years of big data & Hadoop experience
Live Cluster Access: Practice on real distributed Hadoop clusters
Flexible Batches: Weekday & weekend options, recorded backup
Small Batch Size: Max 10-12 students for personalized attention
Affordable Fees: High-quality training from Ahmedabad tech hub

Job Assistance: Tie-ups with big data companies & placement support
Certification: ISO & Govt recognized certificate after completion
24/7 Lab Access: Online Hadoop clusters & learning management system
Global Recognition: Trained students from India, USA, UK, Canada, UAE
Post-training Support: Doubt clearing via forum & email for 6 months

Tools & Technologies Covered

Apache Pig 0.17+ (latest), Pig Latin, Grunt shell
Hadoop Ecosystem: HDFS, MapReduce, YARN
Integration: HBase, HCatalog, Hive, Avro, Parquet, ORC
Programming: Java (UDFs), Python (Streaming UDFs), Bash
Scheduling: Apache Oozie, cron jobs
Build Tools: Maven for UDF development, Eclipse/IntelliJ IDEA
Cloudera/Hortonworks sandbox for practice environment

Who Should Join?

Data Engineers & Big Data Developers
ETL Developers working on Hadoop platforms
Data Analysts wanting to scale data processing
Software Engineers transitioning to big data

College students aiming for data engineering careers
Working professionals wanting Pig specialization
Hadoop administrators learning data processing pipelines

Enroll Now

Start your Apache Pig journey with Laliwala IT.

Learn from industry experts, build real-world data pipelines, and get certified. Our Apache Pig course gives you the flexibility to learn from anywhere with lifetime resources and placement support.

Get In Touch

Shahibaug Road, Delhi Darwaja, Ahmedabad. Gujarat. India.

contact@laliwalait.com

+91-9904245322

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