Apache Pig Training

Live Online & Classroom Enterprise Training

Apache Pig is a high-level scripting platform for processing large datasets in Hadoop using Pig Latin, a simpler alternative to MapReduce. It enables data transformation, analysis, and ETL tasks with minimal coding.

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What is Apache Pig Training about?

This course focuses on Apache PIG, a high-level platform for processing large datasets in the Hadoop ecosystem. Designed to simplify the complexities of MapReduce programming, Apache PIG offers a scripting language called Pig Latin, enabling developers and analysts to efficiently analyze and process data. Participants will gain hands-on experience with data transformations, aggregations, and building complex workflows using PIG in real-world scenarios.

What are the objectives of Apache Pig Training ?

Understand Apache PIG: Learn the architecture, features, and benefits of using Apache PIG in big data projects.
Master Pig Latin Scripting: Write, debug, and execute Pig Latin scripts to analyze large datasets.
Data Transformation and Processing: Perform complex data transformations and aggregations with PIG.
Integration with Hadoop Ecosystem: Use Apache PIG with Hadoop Distributed File System (HDFS) and other components.
Optimize PIG Scripts: Leverage optimization techniques for improving performance in PIG workflows.

Who is Apache Pig Training for?

Data Analysts: Professionals working on analyzing and processing large datasets.
Big Data Engineers: Engineers looking to simplify their Hadoop workflows.
Software Developers: Developers aiming to use PIG for ETL (Extract, Transform, Load) operations in big data systems.
System Architects: Stakeholders responsible for designing data processing pipelines.
Students and Enthusiasts: Individuals interested in learning scalable data processing with Apache PIG.

What are the prerequisites for Apache Pig Training?

Basic Understanding of Big Data Concepts: Familiarity with Hadoop and its components.
Knowledge of SQL: Ability to write basic SQL queries.
Programming Skills: Understanding of scripting languages like Python or Bash is helpful but not mandatory.
Operating Systems: Familiarity with Linux/Unix commands.

Available Training Modes

Live Online Training

2 Days

Self-Paced Training

20 Hours

Course Outline Expand All

Expand All

Module 1: Introduction to Apache PIG

What is Apache PIG?

Key features and advantages of PIG

Use cases in big data processing

Understanding PIG’s architecture

Module 2: Setting Up the PIG Environment

Installing and configuring Apache PIG

Exploring PIG’s modes: Local and MapReduce

Hands-on lab: Setting up a PIG environment on Hadoop

Module 3: Pig Latin Basics

Syntax and structure of Pig Latin

Loading and storing data in PIG

Working with data types and schemas

Hands-on lab: Writing basic Pig Latin scripts

Module 4: Data Processing with PIG

Filtering, grouping, and joining datasets

Performing data aggregations and transformations

Hands-on lab: Implementing ETL operations with PIG

Module 5: Advanced PIG Concepts

Writing User Defined Functions (UDFs)

Debugging and error handling in PIG scripts

Optimizing PIG performance using execution plans

Hands-on lab: Creating advanced workflows with PIG

Module 6: Integrating PIG with the Hadoop Ecosystem

Using PIG with HDFS

Working with Hive and HBase using PIG

Hands-on lab: Building a complete data pipeline with PIG

Module 7: Real-World Applications of PIG

Case studies: Organizations leveraging Apache PIG

Best practices for designing and maintaining PIG workflows

Future trends in big data processing

Who is the instructor for this training?

The trainer for this Apache Pig Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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