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Learn to use Pig for analyzing data sets. Enroll yourself today to learn from an Apache Pig expert.

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Pig Certification Training

    Pig is a licit open-sourced technology that is an important part of the Hadoop ecosystem for processing huge masses of unstructured data. It's basically a high-level scripting language known as pig Latin scripts which assist programmers to concentrate on data level operation precisely.

    • Introduction
    • PIG Architecture
    • Data Models, Operators, and Streaming in PIG
    • Functions in PIG
    • Advanced Concepts in PIG
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    Introduction

    • Hadoop Distribution File System
    • Hadoop MapReduce Overview
    • Introduction to PIG
    • Prerequisites for Apache PIG
    • Exploring use cases for PIG
    • History of Apache PIG
    • Why you need PIG
    • Significance of PIG
    • PIG over MapReduce
    • When PIG suits the most
    • When to avoid PIG
    • Big Data Overview
    • Apache Hadoop Overview
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    PIG Architecture

    • PIG Latin Language
    • Running PIG in Different Modes
    • PIG Architecture
    • GRUNT Shell
    • PIG Latin Statements
    • Running Pig Scripts
    • Utility Commands
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    Data Models, Operators, and Streaming in PIG

    • PIG Data Model- Scalar Data type
    • PIG Data Model - Complex Data Type
    • Arithmetic Operators
    • Comparison Operators
    • Cast Operators
    • Type Construction Operator
    • Relational Operators
    • Loading and Storing Operators
    • Filtering Operators
    • Filtering Operators-Pig Streaming with Python
    • Grouping and Joining Operators-
    • Sorting Operator
    • Combining and Splitting Operators
    • Diagnostic Operators
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    Functions in PIG

    • Eval Functions
    • Load and Store Functions
    • Tuple and Bag Functions
    • String Functions
    • Math Function
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    Advanced Concepts in PIG

    • File compression in PIG
    • Intermediate Compression
    • Pig Unit Testing
    • Embedded PIG in JAVA
    • Pig Macros
    • Import Macros
    • Parameter Substitutions
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