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Big Data Hadoop
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Description

Become an expert and gain the overall knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System), MapReduce and YARN (Yet Another Resource Negotiator). With this course offered by Apponix, you will grasp a firm understanding of various tools of Hadoop Ecosystem like Pig, Hive, Oozie, Sqoop, Flume, and HBase. Along with the basic understanding, learn how to ingest data in HDFS using Sqoop and Flume, excel in diverse projects from multiple domains such as banking, social media, telecommunication, insurance, and e-commerce, analyze large datasets stored in the HDFS and exposure to various real-world industry-based projects, executed in CloudLab.

This particular course, Big Data Hadoop, is an instructor-led course with a mean batch size of ten students. Within the 50 hours of classroom, students will obtain the theoretical & practical knowledge/information about required skills. The trainer’s holistic approach is stemmed to satisfy the long-run wants of the scholar.  They facilitate 100% job/placement post the successful completion of the course & also provide the students with an option to take a demo class before enrolling for the course.

What will I Learn?

  • Tools that are a part of the Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase
  • Complete knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) and MapReduce.

Specifications

  • Free Demo
  • 100% Placement Assistance
  • Interactive Learning
  • Missed Class Recovery
  • Certification by Institute
  • Instalment Facility
  • Interview Training

Hadoop Introduction

  • Introduction to Data and System
  • Types of Data
  • Traditional way of dealing large data and its problems
  • Types of Systems & Scaling
  • What is Big Data
  • Challenges in Big Data
  • Challenges in Traditional Application
  • New Requirements
  • What is Hadoop? Why Hadoop?
  • Brief history of Hadoop
  • Features of Hadoop
  • Hadoop and RDBMS
  • Hadoop Ecosystem’s overview

 

Hadoop Installation

  • Installation in detail
  • Creating Ubuntu image in VMware
  • Downloading Hadoop
  • Installing SSH
  • Configuring Hadoop, HDFS & MapReduce
  • Download, Installation & Configuration Hive
  • Download, Installation & Configuration Pig
  • Download, Installation & Configuration Sqoop
  • Download, Installation & Configuration Hive
  • Configuring Hadoop in Different Modes

 

 Hadoop Distributed File System (HDFS)

  • File System - Concepts
  • Blocks
  • Replication Factor
  • Version File
  • Safe mode
  • Namespace IDs
  • Purpose of Name Node
  • Purpose of Data Node
  • Purpose of Secondary Name Node
  • Purpose of Job Tracker
  • Purpose of Task Tracker
  • HDFS Shell Commands – copy, delete, create directories etc.
  • Reading and Writing in HDFS
  • Difference of Unix Commands and HDFS commands
  • Hadoop Admin Commands
  • Hands on exercise with Unix and HDFS commands
  • Read / Write in HDFS – Internal Process between Client, NameNode & DataNodes
  • Accessing HDFS using Java API
  • Various Ways of Accessing HDFS
  • Understanding HDFS Java classes and methods
  • Commissioning / DeCommissioning DataNode
  • Balancer
  • Replication Policy
  • Network Distance / Topology Script

 

Map Reduce Programming

  • About MapReduce
  • Understanding block and input splits
  • MapReduce Data types
  • Understanding Writable
  • Data Flow in MapReduce Application
  • Understanding MapReduce problem on datasets
  • MapReduce and Functional Programming
  • Writing MapReduce Application
  • Understanding Mapper function
  • Understanding Reducer Function
  • Understanding Driver
  • Usage of Combiner
  • Usage of Distributed Cache
  • Passing the parameters to mapper and reducer
  • Analysing the Results
  • Log files
  • Input Formats and Output Formats
  • Counters, Skipping Bad and unwanted Records
  • Writing Join’s in MapReduce with 2 Input files. Join Types
  • Execute MapReduce Job - Insights
  • Exercise’s on MapReduce
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Mr.Sunil

  • 10+ years of experience as an IT Professional on different platforms.
  • 5 years of comprehensive experience at Microsoft Azure Cloud.
  • Trained more than 1000+ students on Microsoft Azure at Apponix
  • Currently working as a Service delivery consultant - MS Azure Cloud
  • 5 * rating from all our students.
  • Designed & built Cloud Infrastructure solutions deployment (IaaS, PaaS, hybrid, Public) Office 365, AWS, On-prem Infrastructure etc.
  • Excellent training delivery skills with the ability to present information well.
  • Demonstrable experience of being student-focused and completing projects to hit deadlines and targets.
  • Demonstrable proof of enthusiasm, initiative, creativity and problem-solving.

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Description

Become an expert and gain the overall knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System), MapReduce and YARN (Yet Another Resource Negotiator). With this course offered by Apponix, you will grasp a firm understanding of various tools of Hadoop Ecosystem like Pig, Hive, Oozie, Sqoop, Flume, and HBase. Along with the basic understanding, learn how to ingest data in HDFS using Sqoop and Flume, excel in diverse projects from multiple domains such as banking, social media, telecommunication, insurance, and e-commerce, analyze large datasets stored in the HDFS and exposure to various real-world industry-based projects, executed in CloudLab.

This particular course, Big Data Hadoop, is an instructor-led course with a mean batch size of ten students. Within the 50 hours of classroom, students will obtain the theoretical & practical knowledge/information about required skills. The trainer’s holistic approach is stemmed to satisfy the long-run wants of the scholar.  They facilitate 100% job/placement post the successful completion of the course & also provide the students with an option to take a demo class before enrolling for the course.

What will I Learn?

  • Tools that are a part of the Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase
  • Complete knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) and MapReduce.

Specifications

  • Free Demo
  • 100% Placement Assistance
  • Interactive Learning
  • Missed Class Recovery
  • Certification by Institute
  • Instalment Facility
  • Interview Training
₹23,000 ₹ 23,000

Hurry up!! Limited seats only

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