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Big Data Training Course Objectives

  • Learn how to handle complex data types
  • Understanding the fundamentals of Hadoop Hive
  • Understanding about computational tools at application level
  • Know Indexing and Map Side Join in Hive
  • Acquire in-depth understanding on HDFS (HadoopDistribite File System)
  • Advanced level learning of PIG, Sqoop, HBase and Yarn
  • Create Ubuntu image in VMware
  • 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 Bhopal

Jainsy-Anjirwala
Jainsy Anjirwala

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
Jaya-Jayasree
Jaya Jayasree

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
Kajal-Thakkar
Kajal Thakkar

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

  • Experience of 10+ years of experience
  • Trained 1500+ students
  • Top rated trainer of Apponix
  • Expertise experience and professional proficiency 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
  • Good in advanced level concepts and applications od Big Data Hadoop
  • Detail oriented training, good communication skills and noted for subject 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

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5/5

google

5/5

e-blue

5/5

Big Data training in Bhopal

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.

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Student Review

Kalpita-Pakhare bloque
Kalpita Pakhare

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

Khalid-Naik bloque
Khalid Naik

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

Kiran-Mai bloque
Kiran Maibr

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.

Krishna-Veni bloque
Krishna Veni

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

Kshira-Poral bloque
Kshira Poral

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.

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Salary expectation after completing course

Growing demand for Big Data professionals has made a huge 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 training

Nearly 2.5 quintillion bytes of data is produced everyday. Who will handle this huge amount? This has made Big Data analysis one of the most promising careers of 21st century with numerous opportunities and roles all over, there is no need of doubt in assured placement.

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 Bhopal

  • Apponix prepares the students to fit to meet any upcoming professional challenges.
  • Well-informed and experienced trainers
  • 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 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

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