Job oriented courses
apponix team

Big Data Hadoop Course Objectives

  • Complete knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) and MapReduce
  • Comprehensive knowledge of various tools that is a part of Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase
  • Capability to ingest data in HDFS using Sqoop and Flume, and analyze those large datasets stored in the HDFS.
  • The exposure to many real world industry-based projects which will be executed in CloudLab
  • Projects which are very diverse i.e. different from each other covering various data sets from multiple domains such as banking, telecommunication, social media, insurance, and e-commerce.

Big Data Hadoop Course Syllabus

  • 1: 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

  • 2: 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

  • 3: Hadoop Distribute 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

  • 4: 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

  • 5: Hive

  • Hive concepts
  • Hive architecture
  • Install and configure hive on cluster
  • Different type of tables in hive
  • Hive library functions
  • Buckets
  • Partitions
  • Joins in hive
  • Inner joins
  • Outer Joins
  • Hive UDF
  • Hive Query Language

  • 6: PIG

  • Pig basics
  • Install and configure PIG on a cluster
  • PIG Library functions
  • Pig Vs Hive
  • Write sample Pig Latin scripts
  • Modes of running PIG
  • Running in Grunt shell
  • Running as Java program
  • PIG UDFs

  • 7: Sqoop

  • Install and configure Sqoop on cluster
  • Connecting to RDBMS
  • Installing Mysql
  • Import data from Mysql to hive
  • Export data to Mysql
  • Internal mechanism of import/export

  • 8: HBase

  • HBase concepts
  • HBase architecture
  • Region server architecture
  • File storage architecture
  • HBase basics
  • Column access
  • Scans
  • HBase use cases
  • Install and configure HBase on a multi node cluster
  • Create database, Develop and run sample applications
  • Access data stored in HBase using Java API
  • Map Reduce client to access the HBase data

  • 9: YARN

  • Resource Manager (RM)
  • Node Manager (NM)
  • Application Master (AM)
Download Full Big Data Hadoop Trainig Course Syllabus Now

Student Feedback for Big Data Hadoop Training in Bangalore

Dhana Laxmi
Sheela

Firstly I thank Apponix, for giving such a best training and knowledge for everyone here. Secondly I thank my trainer for sharing his knowledge to us. He gave his best in explaining all the topics with understandably. I'm very thankful for training under him. I recommend others to go here for getting best training.

Big Data Administrator


rajesh
Sakshi

Class is really well organized and the tutor holds very well knowledge on subject and explains in-depth with good examples. I thank you a lot helping me overcome with the fear of programming and learn Big Data Hadoop from very basic.

Big Data Engineer


student
Jyothi

Apponix is the best training centre... Apponix is proud to say that one of best training centre provider in Bangalore teach us to every concepts of Big Data Hadoop...this is the best training centre.

Big Data Administrator
student
Krishna

I have joined apponix for Big Data Hadoop and data science, sreedhar sir was my trainer was so knowledgeable and providing the training with good real time example which made me to understand the concept well.thank u sir

Big Data Engineer
subrat Mr. Srikanth

8+ years of working experience in MNC

Big Data Hadoop Trainer Profile

  • Having 8 years of experience in advanced language features in Big Data Hadoop
  • Trained more than 1000+ students on Big Data Hadoop.
  • 5 * rating from all our students.
  • Having good experience developing web application with latest technologies.
  • Well versed in a number of frameworks of Big Data Hadoop.
  • Demonstrates excellent programming skills.
  • Excellent training delivery skills with an ability to present information well.
  • Demonstrable proof of enthusiasm, initiative, creativity and problem solving.

Big Data Hadoop Instructor Experience

  • Writing reusable, testable, and efficient code
  • Designing and implementation of low-latency, high-availability, and performance applications.
  • Integration of user-facing elements developed by front-end developers with server side logic.
  • Integration of data storage solutions includes databases, key-value stores, blob stores, etc.
  • Developing back-end components to improve responsiveness and overall performance
  • Integrating user-facing elements into applications
  • Improving functionality of existing systems
  • Implementing security and data protection solutions

Apponix Ratings

1000+ Satisfied Learners

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5/5

justdial

5/5

justdial

5/5

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5/5

Big Data Hadoop Classes in Bangalore,Job Oriented Modules Added

Enroll for Big Data Hadoop training today. Request Demo class. Our instructor has 8+ years hands on experience in implementing Big Data Hadoop in mission Critical projects. Demo Classes run in Rajajinagar and Marathahalli every week Sunday.

Student Review

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Adah S
Big Data Administrator

Management is very good, flexible with timings. Teaching pattern is easy and understandable.

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Ranjeeta
Big Data Administrator

I took training for Big Data Hadoop from Apponix institute, tutor has good knowledge on the subject & very experienced, he makes understand every concept and he will clear the doubts again & again, i gained more knowledge on Big Data Hadoop.

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Spandana
Big Data Engineer

Best institute for Big Data Hadoop. Trainer has very good knowledge in Big Data Hadoop.

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Girish K
Big Data Administrator

Sir is very helpful and takes every step to make the students understand topics.

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Neelambika
Big Data Engineer

It is good to learn here and the tranier is excellent.

Salary expectation after completing Hadoop course

As there is a growing demand for Big Data Hadoop Engineers, the salary is also constantly increasing for Big Data Hadoop skills,
As per payscale.com Average salary for Hadoop Engineer is Rs 7,12,453 Per year.

Career after Big Data Hadoop course

Bangalore is a Silicon Valley of India, it has large number of IT companies spread across Bangalore, you should not have any doubt on shortage of Big Data Hadoop jobs in Bangalore. IT technologies is growing and there a huge demand for Big Data Hadoop engineers. Big Data Hadoop has more than 70% of the markets share in terms of providing services.

How We Stand Out Among Other Big Data Hadoop Training Institutes?

@ Apponix

VS

@ Other
institutes

Course fees

Very competitive

Most of the institutes provide at less fees but compromise with the quality of the training

Working Professionals

All our trainers are working professionals

Very few institutes have working professionals as trainers

Trainers Experience

Min 7+ Years experience

Most of the institutes hire full time trainers with very less real time experience

Student Web Portal

We have a dedicated students portal where you will find course materials and technical questions hr questions prepared by it professionals

None

@ Apponix

VS

@ Other
institutes

Class Room Infrastructure

Air conditioned class rooms to make sure our students feel comfortable

Very few

Reference Pay

We pay Rs 1000 for every student you refer.

None

Instalment

Yes its very flexible, you can pay the fees in instalment, we understand the financial situation of the students

Very few institutes

Lab Infrastructure

For most of the courses each student is given with laptop or desktop throughout the course

None

@ Apponix

VS

@ Other
institutes

Who are our trainers?

IT consultants,Solutions Architects, Technical Leads

Most of the institutes hire full time trainers with very little experience

Student’s Ratings

5 ***** ratings from more than 4000 students

Mixed

Trust & Credibility

Very High

Moderate.

Fees Negotiable?

Yes we understand the financial situation of each student

Very few

Big Data Hadoop Certification And Cost

Certificate

    This course is designed for candidates aspiring to become:

Why Should You Learn Big Data Hadoop

  • Average Salary of Big Data Hadoop Developers is $96k
  • Hadoop Market is expected to reach $99.31B by 2022 at a CAGR of 43%
  • Big Data Hadoop is the most preferred language for Artificial Intelligence, Robotics, Web Development and DevOps.
  • Big Data Hadoop is one of the most premier, flexible, and powerful open-source language that is easy to learn.
  • Big Data Hadoop is easy to use, and has powerful libraries for data manipulation and analysis.
  • For more than a decade, Big Data Hadoop has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing as of today.
aws responsiblity

Big Data Hadoop Job Responsibilities

  • The responsibilities of a Big data Hadoop administrator includes – deploying and manage a hadoop cluster.
  • Maintaining and Managing a hadoop cluster
  • Adding, updating and removing nodes using cluster monitoring tools
  • Usage of Ganglia Nagios
  • Configuring the NameNode high availability cluster and keeping a track.
  • Monitor and Fix the Hadoop cluster connectivity and its performance.
  • Management and analyze stored Hadoop log files.
  • File system management and monitoring and troubleshooting if any problems.
  • Preparing design or maintain documentation
  • Manage Hadoop big data users.
  • Administration of complete Hadoop infrastructure in prod & dev environment
  • DBA Responsibilities like data modeling, data design
  • Software installation and configuration and database backup and db recovery,
  • Manage Database connectivity and security.
  • Hadoop Cluster Monitoring and Troubleshooting
  • Monitoring the big data Hadoop Clusters
  • Securing a Hadoop Cluster Security Concepts

FAQs

  • Who can take Big Data Hadoop Training?
    • Engineering Fresher
    • Software Developers, Project Managers
    • Software Architects
    • ETL and Data Warehousing Professionals
    • Data Engineers
    • Data Analysts & Business Intelligence Professionals
    • DBAs and DB professionals
  • What are the job roles related to Big Data Hadoop?
    • Big Data Hadoop Engineer
    • Big Data Hadoop Administrator
  • What is the duration of the Big Data Hadoop training?
  • Approximately 40 Hrs, we offer both weekend and weekdays classes.
  • Why you should choose Apponix for Hadoop Training?
  • Apponix has highly experienced and qualified Big Data Hadoop instructors.
  • Till today we have 100% student satisfaction rate.
  • More than 1000 students are rated us as best training institute in Bangalore for Big Data Hadoop.
  • Well-equipped lab facility, Decent infrastructure.
  • All classrooms are Air-Conditioned.
  • All students are provided an individual laptop throughout the course with high-speed WiFi.
faq