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Big Data Training Course Objectives

  • Form a good understanding on the basics of Data Analysis
  • Know computational tools at application level
  • Enable the trainees to handle Data / Statistical analysis better
  • Introduction Data: its types, ways of analysing, types of systems
  • Best possible knowledge in Big Data, its requirements and challenges
  • Know what id a Hadoop, its installation, configuration and different modes
  • Hadoop Distribution of File System
  • Create Ubuntu image in VMware
  • Detail oriented classes in advanced concepts like PIG, Sqoop, HBase and Yarn
  • Understanding block and input splits, Map Reduce Programming, and its function

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 Training Course Syllabus Now

Students Feedback for Big Data Training in Bhubaneswar

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Sagar

Excellent trainer. Good quality teaching. We got lots of practical sessions with real time assignment. It helped a lot.

Big Data Expert
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Vijayraj

I have done Big Data training from Apponix. Expert trainer. The classes are too good. Thanks a lot Apponix.

Big Data Analyst
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Megha

Very helpful training. The trainer was always ready to clear doubts. He explains the topics with good and real time examples.

Big Data Analyst
subrat Mr. Srikanth

8+ years of working experience in MNC

Big Data Hadoop Trainer Profile

  • Wel-experienced trainer with 10+ years of experience possessing advanced level knowledge in Big Data Hadoop
  • Knowledgeable in the latest technologies of web application development
  • 5 star rated trainer of Apponix who has trained 1500+ students
  • Our instructor has got excellent experience in:
    Efficient code writing which is reusable and testable
    Designing and implementing low-latency, high-availability, and performance applications
    Enhancing the functionality of existing systems and implementing solutions for security and data protection
  • Provides the best detail-oriented training with excellentsubject delivery

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

apponix +11000 Satisfied Learners

facebook

5/5

justdial

5/5

google

5/5

e-blue

5/5

Big Data training in Bhubaneswar

From 2017 onward there has been a rise of 30% rise in hiring Big Data professionals to IT, Telecom and analytical professions from Mumbai. Apponix moulds the trainees to fit for the upcoming trends and standards of the industry.

Student Review

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Sagar

Professional training is provided here. You can completely trust Apponix for the best training. I’m completely satisfied with the training

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Amar Koli

Overall good learning experience. I got the best trainer. He is very supportive and helpful. Extremely satisfied with the course. Good study materials too.

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Aravind Raj

Thanks a lot sir for your efforts. I thank the institution for the best infrastructure and materials they provided. Apponix will be my first recommendation.

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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

There is a huge demand for Big Data professionals around the world.. This results in a constant rise in the salary too. According to payscale.com, the average annual salary of a Big Data professional is about INR 7.5 lakhs.

Career after Big Data training

We offer here 100% job oriented training in Big Data. No worries about the placement, since this is one of the most promising careers of 21st century with numerous opportunities and roles all over.

Why Should You Learn Big Data?

  • Most demanding and promising career option
  • It is easy to learn and easy to use
  • It is one among the very few languages that is preferred by the most, premier, flexible, and of open source.
  • Implementation in the fields of AI, Robotics, Web Development, DevOps and so on, has considerably increased the credibility and demand of Big Data Hadoop
  • It is one among the very few languages that is preferred by the most, premier, flexible, and of open source.

Big Data Training in Bhubaneswar

  • Apponix offers the best Big Data training with most efficient and incredible features
  • We regularly follow the recent trends and requirements of the industry.
  • Our trainers are well experienced and experts in the field.

FAQs

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

What is the duration of the training?

  • Approximately 40 hours

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

Do I get certificate after completion of the course?

Yes all our students get course completion certificate.

What is Apponix Certified Professional Certificate?

After completion of the course we will conduct a exam, and if you get 80% or more in the exam you will get Apponix Certified Professional Certificate.

Who is my instructor?

Your instructor is a 15+ years experienced graphic designer, Animator & multimedia expert.

How much is course Fees?

Please call us to get best discounted corse fees

Can I pay course fees in installments?

Yes,definitely you can pay in installments.

What are the assistances can I expect from you?

Resume preparation,Interview Prepration and Certification guidance

Why should I choose Apponix?

  • Complete hands-on training
  • Expert faculty
  • 2000+ students were trained
  • 5 star rated training
  • 100% job oriented training
  • Learner-friendly infrastructure
  • Resume preparation
  • Prepares you to face any post training interview
  • Flexible timings
  • Own study materials prepared by subject experts
  • Customised syllabus by experts in the field through in-depth research