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Big Data & Hadoop

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BigData & Hadoop Training Syllabus : Java Essentials For Hadoop with lab assignment

  • Lesson 1. OOPS and Java
  • Lesson 2. Programming constructs
  • Lesson 3. Data structures
  • Lesson 4. Lab assignment

RDBMS concepts, SQL basics with lab assignment

  • Lesson 1. RDBMS concepts
  • Lesson 2. Table, Master-Detail, Keys, Relations, Indexes
  • Lesson 3. SQL Query, Various JOINS, CO-RELATED QUERY, LIMIT BY
  • Lesson 4. UNIONS
  • Lesson 4. Built-in functions
  • Lesson 4. User functions, procedures
  • Lesson 4. Lab assignment

Course Introduction

  • Lesson 1. What is BIG DATA?
  • Lesson 2. Why BIG DATA?
  • Lesson 3. BIG DATA v/s RDBMS
  • Lesson 4. Course Overview

Introduction to Big Data and Hadoop

  • Lesson 1. Identify the need of Big Data
  • Lesson 2. Explain the concept of Big Data
  • Lesson 3. Describe the basics of Hadoop
  • Lesson 4. Explain the benefits of Hadoop
  • Lesson 5. Quiz

Getting started with Hadoop

  • Lesson 1. Steps to install VMWare Player
  • Lesson 2. Steps to start VM in VMWare Player
  • Lesson 3. Steps to use Oracle VirtualBox to open VM
  • Lesson 4. Starting and existing Hadoop VM

Hadoop Architecture

  • Lesson 1. Describe use of Hadoop in commodity hardware
  • Lesson 2. Explain the various configurations and services of Hadoop
  • Lesson 3. Differentiate between regular file system and Hadoop Distributed File System (HDFS)
  • Lesson 4. Explain HDFS architecture
  • Lesson 5. Quiz

Hadoop Deployment

  • Lesson 1. Explain steps to install Ubuntu Server 12.04 LTS for Hadoop
  • Lesson 2. Describe how to install and configure Hadoop
  • Lesson 3. Identify the steps to install and configure Hadoop in cluster environment
  • Lesson 4. Quiz

Introduction to MapReduce

  • Lesson 1. Concepts of MapReduce
  • Lesson 2. List steps to install Hadoop in Ubuntu machine
  • Lesson 3. Explain roles of user and system
  • Lesson 4. Lab assignment
  • Lesson 5. Quiz

Pig

  • Lesson 1. Explain the concepts of Pig
  • Lesson 2. Demostrate the installation of Pig engine
  • Lesson 3. Explain the prerequisites for the preparation of environment for Pig Latin
  • Lesson 4. Lab assignment
  • Lesson 5. Quiz

Hive

  • Lesson 1. Describe Hive and its importance
  • Lesson 2. Explain Hive architecture and its various components
  • Lesson 3. Demostrate the installation of Hive
  • Lesson 4. Describe basics of Hive programming
  • Lesson 5. Lab assignment
  • Lesson 6. Quiz

Hbase/NoSQL

  • Lesson 1. Explain the HBase architecture
  • Lesson 2. Describe the HBase data model
  • Lesson 3. Demostrate the installation of HBase
  • Lesson 4. Explain how to INSERT data and QUERY data from HBase
  • Lesson 5. Quiz

Commercial Distribution of Hadoop

  • Lesson 1. Identify the major commercial distributions of Hadoop
  • Lesson 2. Explain how to download and work on the Cloudera Quickstart VM
  • Lesson 3. Describe how to navigate the Hue interface
  • Lesson 4. Demonstrate how to navigate the Cloudera Manager interface
  • Lesson 5. Explain how to download and work with HortonWorks VM
  • Lesson 6. Demostrate how to navigate the HortonWorks VM interface
  • Lesson 7. Quiz

ZooKeeper, Sqoop and Flume

  • Lesson 1. Explain Zookeeper and its role
  • Lesson 2. List the challenges face in distributed processing
  • Lesson 3. Install and configure ZooKeeper
  • Lesson 4. Explain the concept of Sqoop
  • Lesson 5. Explain the concept of Flume
  • Lesson 6. Configure and run Flume
  • Lesson 7. Configure and run Flume
  • Lesson 8. Quiz

Ecosystem and its components

  • Lesson 1. Explain the Hadoop Ecosystem structure
  • Lesson 2. Describe the different components of Hadoop Ecosystem and their role
  • Lesson 3. Quiz

Hadoop Administration, Troubleshooting and Security with Demo

  • Lesson 1. Explain different configurations of the Hadoop cluster
  • Lesson 2. Identify different parameters for performance monitoring and performance tuning
  • Lesson 3. Explain configuration of security parameters in Hadoop
  • Lesson 4. Quiz

Hadoop Introduction

Apache - Hadoop is an open source framework that's gaining popularity in the IT industry because of its ability to have low end hardware perform high end processing of data. Hadoop does this by having a high fault tolerance at application layer which allows optimum use of the existing resources.” Hadoop is the preferred technology of most MNC’s with vast data banks in India especially in Pune. At SourceKode, corporates and students are groomed on Hadoop in the best possible manner. Training on Hadoop at SourceKode Pune is a combination of theory and practice along with hands on assistance on live project

Why Learn Hadoop

Hadoop is a popular framework for managing and processing big data. Learning Hadoop can help you in many ways, such as: You can handle large and complex data sets that cannot be easily processed or analyzed using traditional methods. Hadoop uses distributed storage and parallel processing to break down workloads into smaller tasks that can be run at the same time on multiple machines. You can access and process data from various sources, such as social media, web logs, sensors, and IoT devices.Hadoop can efficiently store and process data ranging in size from gigabytes to petabytes. You can improve your decision-making skills by using Hadoop to perform data analytics and find patterns, trends, and correlations in the data. Hadoop also supports machine learning and data mining applications

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Comments ( 2 )

  • Ram MNovember 1, 2017

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  • Andre DubusNovember 1, 2017

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  • Ram MNovember 1, 2017

    Cras porttitor sed diam
    Vestibulum a mauris orci. Sed eros enim, euismod at eros ac, vestibulum volutpat tortor. Suspendisse neque dui, rutrum congue ligula ut, semper pulvinar diam.