Understanding Pig Architecture

Course Content

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Introduction to Big Data and Hadoop

Overview of Big Data and Hadoop

Understanding Big Data

Categories of Data in Big Data

Technologies in Big Data

The Five V’s of Big Data

Getting Started with Hadoop

Defining Hadoop

A Brief History of Hadoop

Exploring the Hadoop Ecosystem

Hadoop Vendors Overview

Understanding Hadoop Architecture

Setting Up the Hadoop Environment

Installing VirtualBox and Configuring a Machine

Setting Up a Linux Environment

Installing JDK and JRE for Hadoop

Installing Hadoop on a Single Node Cluster

Setting Up Hadoop in Pseudo Distributed Mode

Finalizing Hadoop Installation Steps

Introduction to HDFS

Overview of HDFS

HDFS Architecture Explained

Reading Data from HDFS

Writing Data to HDFS

Essential HDFS Commands

Introduction to MapReduce

Understanding MapReduce

Shuffle and Sort in MapReduce Tasks

Job Scheduling in MapReduce

Fundamentals of MapReduce Algorithms

Example of a MapReduce Program

Introduction to HBase

Overview of HBase

Installing HBase

Understanding HBase Architecture

Comparing RDBMS and HBase

Using HBase Shell

Creating Tables and Inserting Data in HBase

Scanning and Reading Data in HBase

Enabling and Disabling HBase Tables

Deleting Data from HBase Tables

Introduction to Hive

Overview of Hive

Installing Hive

Creating and Using Hive Databases

Creating Tables in Hive

Inserting Data into Hive Tables

Deleting Data and Dropping Hive Tables

Introduction to Pig

Overview of Pig

Understanding Pig Architecture

Pig Latin Data Model

Basics of Pig Latin

Loading Data into Pig Tables

Storing Pig Data on Disk

Examples of Pig Commands

Introduction to Spark

Overview of Spark

Understanding the Spark Ecosystem

Some Spark Shell Commands

Spark Word Count Example

Introduction to Oozie

Oozie Coordinator

Tutorix Simply Easy Learning Steps

Tutorix Brings Simply Easy Learning

Final Exam - Mastering Big Data with Hadoop

Mastering Big Data with Hadoop

Delve into the architecture of Pig and how it integrates with Hadoop.

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