team apponix

Big Data Course Objectives

  • Introducing Hadoop Hive and its concepts
  • Learn indexing and Map Side Join in Hive and how it work with complex data types.
  • Detail-oriented classes in HDFS (HadoopDistribite File System)
  • In-depth knowledge in advanced level concepts of PIG, Sqoop, HBase and Yarn
  • Create Ubuntu image in VMware
  • Understanding about computational tools at application level
  • Enable the trainees to handle Data / Statistical analysis better.

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 Hyderabad

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Sagar

Apponix is a perfect institute for Big Data training. Well-experienced trainer. Practice session helped a lot to get good idea about the job and various opportunities in big data career.

Big Data Expert
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Vijayraj

I had very good training here. The traineris too passionate and knowledgeable. The coaching I had from Apponix helped me to pursue a bright career. Nice learning experience.

Big Data Analyst
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Megha

The teaching style was simple in order to understand the complex concepts easy. The management is very supportive and responsible staffs. Manytests are conducted to test our level of understanding and really it helped a lot. The questions we have discussed in the classes helped me in many interviews. Thank you sir and the entire team of Apponix.

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

apponix +11000 Satisfied Learners

facebook

5/5

justdial

5/5

google

5/5

e-blue

5/5

Big Data training in Hyderabad

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

Best institution I ever went for good learning experience. The teaching style was brilliant and much efficient. I got clear idea about the career opportunities in big data and its present scope. The training gave much knowledge and practical experience. Thank you Apponix.

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Amar Koli

Trainer has a great communication skill and he provided individual attention for us. He demonstrated the concepts with good examples and practical classes. Apponix transforms any fresher to a professional. Too good certification guidance.

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Aravind Raj

I recommend Apponix. Disciplined and well-structured infrastructure. Responsible staffs and facilitated labs. Good training for big data with sufficient practical experience and real-time projects.

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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

Growing demand for Big Data professionals has made ahuge leap in average annual salary. In India, the average annual salary of a Big Data professional is about INR 7.5 lakhs.

Career after Big Data course

Big Data offers great number career opportunities around the world. The demand here is perennial or never ending due to huge deficit in skilled and certified professionals in this field. 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 career with promising opportunities
  • Big Data find its implementation in new areas each day. And its implementation in the fields of AI, Robotics, Web Development, DevOps and so on, has considerably increased the credibility and demand of Big Data Hadoop professionals
  • Most preferred, premier and flexible language which is of open source form

Big Data Training in Hyderabad

  • Hyderabad is one of the few cities where recent trends and requirements in tech industry is shown primarily.
  • Apponix tracks these changes to prepare the students to fit to meet any upcoming professional challenges.
  • We have well-informed and experienced trainers and customised syllabus.
  • We offer the best certification guidance along with credible assistance in interview and professional level resume preparation.

FAQs

Who can take the training?

  • Fresher graduates who have completed Engineering.
  • Data Engineer
  • Software Architects
  • Software Developers
  • 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

What is the duration of the Course ?

  • Approximately 40 Hrs

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?

  • 200+ tied-up client companies to assist in placement
  • 100% student satisfaction
  • Trainers with 10+ years of expert level experience in real-world projects.
  • 5 star rated teaching and study materials
  • Customised syllabus by experts in the field through in-depth research
  • Learner-friendly infrastructure
  • Flexible timings
  • Complete hands-on training
  • Expert faculty
  • Resume preparation
  • Prepares you to face any post training interview