Job oriented courses
team apponix

Big Data Course Objectives

  • Forming, understanding about Data and System
  • Types of data, systems and scaling
  • Knowing Big Data, Hadoop and its features
  • Hadoop Installation and Hadoop Distribute File System (HDFS)
  • Map Reduce Programming and detail-oriented learning of its advanced concepts and execution
  • Download, Installation and Configuration and the Library functions: Hive, Pig and Sqoop.

What Our Students Say about Us

Student Review for Big Data Training

Student Review for Big Data Training

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

Students Feedback for Big Data Training

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Sagar

I thank Apponix for offering the best online training experience. It was very informative. The training helped a lot in my career.

Big Data Expert
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Vijayraj

The classes are too good. The trainer did his best in explaining the topics. The subject is made clear through enough examples and methods. Thanks a lot sir.

Big Data Analyst
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Megha

Excellent learning experience. I recommend others too to join Apponix to have the best online technical trainings. Well organized classes.

Big Data Analyst
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

5000+ Satisfied Learners

facebook

5/5

justdial

5/5

google

5/5

e-blue

5/5

100% Job guaranteed Big Data Online Training Course for Freshers

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.

Student Review

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Sagar

Good trainer and helped a lot. He explained many real-time scenarios to understand the topics. Had a good learning experience..

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Amar Koli

The way of teaching was very effective. The trainer supported very much. Complex concepts are taught in a very simple way.

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Aravind Raj

Apponix was the best choice I have made. Good knowledge about the advanced technicalities was made. By the completion of the course, we will get a good idea about the basics and advanced technologies.

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Jasleen Ahuja

i completed SEO course here .Akash sir is an excellent trainer! I had a great experience learning here!

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Shoba

Apponix the one of the best institute for Digital Marketing and SEO. The way of teaching by Akash sir is fantastic, here i learned many things.

Salary expectation after completing course

The Big Data course offers you the best opportunity to be one of the most demanding professionals of present day facing massive rise in salary. According to payscale.com, a professional in this field could earn an average starting salary of INR 7 lakhs.

Career after Big Data course

Big Data analysis is one of the most promising fields in IT industry offering 100% assurance in placement. It is completely a job-oriented training regularly focusing on the trends and needs. Being one of the most promising careers of the 21st century, it offers numerous opportunities and roles all over..

How We Stand Out Among Other Big Data 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 Certification And Cost

Certificate
  • Google Analytics Individual Qualification.
  • Hubspot Big Data Certification.
  • Semrush Big Data Certification.

Why Should You Learn Big Data?

  • 100% career-oriented course
  • Most demanding job with greater assurance of placement
  • Big Data Hadoop gains more importance through its advanced applications in AI, Robotics, Web Development, DevOps and so on.
  • Easy to use and learn
  • It is one among the very few languages that is preferred by the most, premier, flexible, and of open source.

Online Big Data Training

  • Online trainings are always preferred more in present day busy schedules
  • Apponix values your time and offers the best knowledge in respective courses with maximum credibility
  • Our trainers possess years of experience and expertise in the technologies with hands-on experience in multiple real-time projects.
aws responsiblity

Big Data Responsibilities

  • Research and analyze industry changes/developments in search engine optimization and search discovery across multiple channels and programs
  • Participate in analyzing and diagnosing technical website issues that impact SEO
  • Create and present written recommendations, reports, and presentations
  • Assist in training internal teams to follow SEO best practices.
  • Develop, implement and maintain Link Building Programs for SEO customers.
  • Monitor and report on SEO & PPC campaign performance through the use of Web Analytics Software, Bid Management Platforms & Organic Ranking programs.
  • Communicate effectively with internal account teams (offline and online) in order to make sure integrated marketing campaigns preserve a 100% digital approach.
  • Stay abreast of the latest trends in the Search Marketing industry through constant research, article reading, webinars and industry events.
  • Develop, implement,optimize and report on Pay per Click (PPC) campaigns for various customers across a variety of online publishers including Google, BING, Yahoo, Facebook, LinkedIn and others.
  • Perform Search Engine Optimization (SEO) audits & provide recommendations to help improve the quantity and quality of organic traffic to customer web sites.
  • Conduct keyword research, analysis, bucketing, and matching in order to develop quality keyword lists for both PPC and SEO purposes.
  • Create promotional text ads for use with a variety of campaigns across different publishers.
  • Manage promotion code creation, tracking, and troubleshooting.
  • Improve performance of key marketing channels including SEM, Paid Social, SEO, and Display.
  • Provide recommendations on how to optimize customer journeys
  • Track performance of marketing automation campaigns and meet applicable KPIs
  • Delivering high-quality content for multiple streams,

FAQs

  • Why should I choose Apponix for the training?
    • Expert faculty
    • 2000+ students were trained
    • 5 star rated training
    • 100% job oriented training
    • Resume preparation
    • Prepares you to face any post training interview
    • Customised syllabus by experts in the field through in-depth research
  • Who can take the training?
    • Fresher graduates who have completed Engineering
    • Data Engineer
    • Software Developers
    • Software Architects
    • Project Managers
    • Data Analysts
    • Business Intelligence Professionals
    • ETL and Data Warehousing Professionals
    • DBAs and DB professionals
  • Which are the major companies that offer placements after the training?
    • Google
    • Facebook
    • Amazon
    • Infosys
    • CTS
    • TCS
    • Capgemini
  • What are the prominent job-roles related to the course?
    • Big Data Hadoop Administrator
    • Big Data Hadoop Engineer
  • Why to Choose Apponix?
    • Excellent and qualified trainers
    • Dedicated HR team & 100%+ placements
    • 7000+ happy students.
    • Excellent lab facility & AC classrooms.
    • 100% student satisfaction rate.
faq