BigData Hadoop Online Training

Introduction

BigData Hadoop Training

 Big data Courses like Hadoop has a very special place in the analytics world. To Learn Big Data we have made our Hadoop Training with more relevant course contents that would be helpful in solving problems of real-time scenario. Our Trainers are well experienced in giving online training to various domains. Our Hadoop Online Training package provides server access with live projects to practice, our trainers guide you to qualify for Hadoop certification exam to standout in the competition in the job market.

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COURSE SUMMARY

Course NameHadoop Online Training
ContentsFundamentals, HDFS, Architectural etc.
Duration30 Hours with Flexible timings
DeliveryInstructor Led-Live Online Training
EligibilityAny Graduate
Ideal ForFreshers, aspirants seeking to learn the basic essentials of Hadoop
AvailabilityRegular/Weekend Batches. 24×7 teaching assistance and support.

Course Objectives

What you’ll learn in Hadoop Training Course?

  • Covers core understanding of big data, Hadoop and its surrounding ecosystem of products.
  • Focuses on big data and details about the Hadoop core components
  • Presents several common examples of Hadoop use cases
  • Emphasizes on important topics such as enterprise data hub, large-scale log analysis, and building recommendation engines
  • Dynamic curriculum with the inclusion of latest developments in the field
  • Ideal for all aspirants of big data and Hadoop Technology including business analysts and enterprise architects
  • Designed from a practical and industry perspective

CORE BENEFITS OF LEARNING HADOOP

Big data is the latest industry buzzword and every company is keen on investing in it. In big data, the most widely used system is Hadoop. Hadoop is an open source implementation of big data, which is widely accepted in the industry, and used for large-scale, extremely parallel, and distributed data processing. Hadoop’s fault-tolerant capacity and multiple level configurability has a huge impact on the number of times the data is stored across. This makes it one of the most lucrative big-data technologies and is sought after by companies across industries.

Course Curriculum

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MODULE 1: BIG DATA INTRODUCTION

TOPICS: Introduction, History?, Importance, Different Types of Components ?, Scope, Hdfs, Pig, Flume, Hive, Oozie, HBase, MapReduce, Sqoop

MODULE 2: DEEP DRIVE IN HDFS

TOPICS: Hdfs Design, Introduction of Hdfs, Features of Hdfs, Hdfs Role , Anatomy of File Wright, Network Topology, Anatomy of File Read, Basic Configuration for HDFS, Parallel Copying Using Distcp, Rack Awareness, Data Organization, How to Store the Data into Hdfs, Heartbeat Signal, Accessing Hdfs, How to Read the Data From Hdfs, CLI Commands

MODULE 3: MAPREDUCE USING JAVA

TOPICS: MapReduce Architecture, The Introduction of MapReduce, Understand Difference Between Block And Inputsplit, Data Flow in MapReduce, Writing and Executing the Basic MapReduce Program practicing Java, How MapReduce Works, Joins, File Input or Output Formats in MapReduce Jobs, Role of Record reader, Submission and Initialization of MapReduce Job, MapReduce Life Cycle, Partition MapReduce Program, Side Data Distribution, Word Count Example, Job Scheduling, Counters

MODULE 4: PIG

TOPICS: Introduction to Pig Data Flow Engine, Introduction to Apache Pig, When Should Pig Use?, MapReduce Vs. Pig in Detail, Word Count Example in Pig, Basic Pig Programming, Data Types In Pig, Execution Mechanisms, Modes of Execution in Pig, Operators or Transformations in Pig, Pig UDF’s with Program, The Difference Between the MapReduce and Pig

MODULE 5: SQOOP

TOPICS: Use of Sqoop, Introduction to Sqoop, Connect to Mysql Database, Export to Hbase Joins in Sqoop, Sqoop Commands, Export to Mysql

MODULE 6: HIVE

TOPICS: Hive Meta Store, Introduction to Hive, Tables in Hive, Hive Architecture, Partition, Hive Data Types, Hive UDF’s and Uadf’s With Programs, Joins in Hive, Word Count Example

MODULE 7: HBASE

TOPICS: Introduction to HBase, Fundamentals of Hbase, Basic Configurations of Hbase, What is NoSQL?, Categories of NoSQL Data Bases, How HBase differs from RDBMS, SQL Vs. Nosql, Client-Side Buffering or Bulk Uploads, Hdfs Vs. Hbase, Hbase Operations, Hbase Architecture, Hbase Designing Tables, HBase Data Model

MODULE 8: MONGO DB

TOPICS: Where to Use?, What is MongoDB?, Inserting the Data into MongoDB?, Configuration on Windows, Reading the MongoDB Data

MODULE 9: CLUSTER SETUP

TOPICS: Installing Java, Creating Cluster, Installing Hadoop, Monitoring the Cluster Health, Increasing Decreasing the Cluster Size, Starting and Stopping The Nodes, Downloading And Installing the Ubuntu12.X

MODULE 10: ZOOKEEPER

TOPICS: Data Model, Introduction Zookeeper, Operations

MODULE 11: OOZIE

TOPICS: Use of Oozie, Introduction to Oozie, Where to Use?

MODULE 12: FLUME

TOPICS: Uses of Flume, Introduction to Flume, Flume Architecture

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