Apache Pig for Big Data

Module 1: Introduction to Apache Pig & Big Data Processing

📌 Learning Objectives:

• Explain how Apache Pig simplifies data processing in Hadoop.
• Understand the difference between Pig, Hive, and Spark.
• Explore Pig Latin scripting for efficient ETL operations.
• Navigate the Pig execution environment and its core components.

🔹 Hands-on Lab:

• Launch Pig and run basic scripts to manipulate datasets.
• Explore Pig’s command-line interface and execution modes.

Module 2: Working with Data in Pig

📌 Learning Objectives:

• Load, store, and manage structured & unstructured data in Pig.
• Understand relations, schemas, and storage options.
• Apply data transformation functions for real-world use cases.

🔹 Hands-on Lab:

• Load different data formats and perform data ingestion.
• Experiment with data filtering, sorting, and grouping.

Module 3: Data Processing & Optimization

📌 Learning Objectives:

• Perform data joins, aggregations, and transformations.
• Write optimized Pig scripts for performance efficiency.
• Learn how to extend Pig’s functionality with User-Defined Functions (UDFs).
• Discover how Pig interacts with Hadoop ecosystem tools like Hive and HCatalog.

🔹 Hands-on Lab:

• Execute a full ETL workflow using Pig scripts.
• Develop a custom function (UDF) to enhance Pig’s capabilities.

Module 4: Final Project & Course Wrap-Up

📌 Learning Objectives:

• Implement a real-world Pig workflow from start to finish.
• Optimize scripts for scalability and performance.
• Troubleshoot and debug common Pig scripting issues.

🔹 Hands-on Lab:

• Work on a mini-project integrating all learned concepts.
• Discuss best practices for deploying Pig in production environments.

Additional Course Details:

✔️ Customizable course formats: 1, 2, 3, 4, or 5-day versions available.
✔️ Pricing: $40 per student per day.
✔️ Ideal for: Data analysts, engineers, Hadoop developers, and ETL professionals.

🚀 Offer this high-value training to your clients and expand your course catalog!

Instructor Kit

(PPTX/PDF of Slides + Optional Instructor Notes)
Comprehensive slide deck with detailed content covering all modules, plus optional instructor notes to enhance teaching effectiveness.

Student Kit / Handout

(with Free Branding)
Professionally designed handouts for students, including all essential course information and customizable branding options for your organization.

Course Agenda / Outline

Detailed day-by-day course agenda and outline, ensuring smooth course delivery and a structured learning experience for students.

Study Guide

A concise guide summarizing key concepts and topics covered in the course, perfect for post-course review and exam preparation.

FAQ

Answers to commonly asked questions about the course content, delivery, and labs to support instructors and students.

Briefing Doc

A high-level document summarizing the course objectives, target audience, and key learning outcomes, ideal for internal use and marketing.

Sales Enablement Kit for IT Training Sales Engineers

(Additional Fee)
Exclusive toolkit designed for IT training sales teams, including pitch decks, objection handling, and ROI documentation to support course sales.

Course AI GPT

(Course Assistant GPT so students can talk to the course materials!)
A cutting-edge AI-driven assistant that allows students to interact with course content, ask questions, and receive instant feedback.

Optional Podcast

(of the entire course or for each individual module)
Engaging audio content covering the entire course or individual modules, perfect for on-the-go learning or reinforcement.

Lab Guide

(Lab Environments are additional and can be found at CourseLabs.io)
Step-by-step lab guide to support hands-on learning, with lab environments available separately at CourseLabs.io.

Lab Files

(If you choose to host your own lab environment)
All necessary files and instructions for setting up and running labs in your own environment, offering flexibility in deployment.

Apache Pig – Latest stable version (ETL & data transformation)

Hadoop (HDFS) – Latest stable version (Storage & processing)

MapR Sandbox – Latest stable version (Hands-on labs)

Apache Hive – Latest stable version (Data querying)

Apache Spark – Latest stable version (In-memory processing)

Linux/Unix CLI – Command-line execution via Grunt Shell

Virtual Machine (VM) – Required for lab setup

HCatalog – Latest stable version (Schema interoperability)

SCP (Secure Copy Protocol) – File transfer to VM

UDF Support: Java, Python, Ruby, JavaScript

This 1-day Instructor-Led Training (ILT) course provides a hands-on, immersive learning experience in Apache Pig, a powerful tool for data transformation and ETL workflows within the Hadoop ecosystem. Designed for data professionals, this course offers a balanced mix of 50% lecture and 50% hands-on labs, ensuring students not only understand the concepts but also gain practical experience applying them.

Course Objectives

By the end of this course, students will be able to:
✔️ Understand how Apache Pig fits into the Hadoop ecosystem
✔️ Write Pig Latin scripts to process and transform big data
✔️ Perform ETL tasks such as filtering, joining, and aggregating datasets
✔️ Work with structured and semi-structured data efficiently
✔️ Use Pig with HDFS, Hive, and other Hadoop tools

Who Should Take This Course?

This course is ideal for:

• Data Analysts & Data Engineers – Automate and optimize big data processing
• Hadoop Developers – Improve efficiency with Pig instead of complex MapReduce coding
• ETL Specialists – Simplify Extract, Transform, and Load workflows
• Big Data Professionals – Gain hands-on experience in Hadoop-based data transformation

Flexible Course Formats

All courseware is customizable and can be delivered as:
✔️ 1, 2, 3, or 4-day course options
✔️ 5-day deep-dive course for a comprehensive learning experience

💲 Pricing: $40 per student, per day

Expand your big data training catalog and offer flexible, high-quality instructor-led training to your clients! 🚀