Big Data Hadoop Training Institute in India

Big Data Hadoop Training Institute in India

Course code: LBG0725

IT & Software Data Science

About Course:

Apache Hadoop is an open source software framework for storage and large scale processing of data-sets on clusters of commodity hardware. So to manage this large volume of data they need framework and Hadoop is the best. and process these data.

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What is hadoop in Data Science ?

  • Apache Hadoop is an open source software framework for storage and large scale processing of data-sets on clusters of commodity hardware.
  • Hadoop is an Apache top-level project being built and used by a global community of contributors and users. It is licensed under the Apache License 2.0.

Who can Learn Hadoop in Data Science?

  • To learn Hadoop and build an excellent career in Hadoop, having basic knowledge of Linux and knowing the basic programming principles of Java is a must.
  • Thus, to incredibly excel in the entrenched technology of Apache Hadoop, it is recommended that you at least learn Java basics.

What are Roles and Responsibilities of Hadoop ?

  • The primary job of a Hadoop Developer involves coding.
  • They are basically software programmers but working in the Big Data Hadoop domain.
  • They are adept at coming up with the design concepts that are used for creating extensive software applications.

What are Future Scope and Market shares ?

  • So to manage this large volume of data they need framework and Hadoop is the best and process these data.
  • In future as per my understanding Hadoop and Big Data technology demand is going to be high.
  • You can Imagine How BIG DATA HADOOP Has Upcoming Future Career.

What is Salary Package of Hadoop ?

  • The average salary for big data analytic professionals in the non-managerial role is 8.5 lakhs INR, whilst managers can earn an average of whopping 16 lakhs.
  • These average salaries are merely big data skills like hadoop and spark.

What are the Job Opportunities in Hadoop ?

 

  • Map Reduce is the heart of Apache Hadoop.
  • It is a programming paradigm that enables massive scalability across hundreds or thousands of servers in a Hadoop cluster.
  • As the sequence of the name MapReduce implies, the reduce job is always performed after the map job.

Introduction to Hadoop and Big Data

  • What is Big Data?

  • What are the challenges for processing big data?

  • What technologies support big data?

  • What is Hadoop?

  • Why Hadoop?

  • History of Hadoop

  • Use cases of Hadoop

  • RDBMS vs Hadoop

  • When to use and when not to use Hadoop

  • Ecosystem tour

  • Vendor comparison

  • Hardware Recommendations & Statistics

HDFS: Hadoop Distributed File System

  • Significance of HDFS in Hadoop

  • Features of HDFS

  • 5 daemons of Hadoop

    • Name Node and its functionality

    • Data Node and its functionality

    • Secondary Name Node and its functionality

    • Job Tracker and its functionality

    • Task Tracker and its functionality

  • Data Storage in HDFS

    • Introduction about Blocks

    • Data replication

  • Accessing HDFS

    • CLI (Command Line Interface) and admin commands

    • Java Based Approach

  • Fault tolerance

  • Download Hadoop

  • Installation and set-up of Hadoop

    • Start-up & Shut down process

  • HDFS Federation

Map Reduce

  • Mapreduce Story
  • Mapreduce Architecture
  • How Mapreduce works
  • Developing Mapreduce
  • Mapreduce Programming Model
    • Different phases of Mapreduce Algorithm

    • Different Data types in Mapreduce

    • how Write a basic Mapreduce Program

    • Driver Code

    • 3 Mapper

    • Reducer

  • Creating Input and Output Formats in Mapreduce Jobs
    • Text Input Format

    • Key Value Input Format

    • Sequence File Input Format

  1. Data localization in Map Reduce

  2. Combiner (Mini Reducer) and Partitioner

  3. Hadoop I/O

  4. Distributed cache

PIG

  • Introduction to Apache Pig

  • Map Reduce Vs. Apache Pig

  • SQL vs. Apache Pig

  • Different data types in Pig

  • Modes of Execution in Pig

  • Grunt shell

  • Loading data

  • Exploring Pig

  • Latin commands

HIVE

  • Hive introduction

  • Hive architecture

  • Hive vs RDBMS

  • HiveQL and the shell

  • Managing tables (external vs managed)

  • Data types and schemas

  • Partitions and buckets

HBASE

 

  • Architecture and schema design

  • HBase vs. RDBMS

  • HMaster and Region Servers

  • Column Families and Regions

  • Write pipeline

  • Read pipeline

What is the SAP FICO Course Duration?

  • Overall - 2 Months
  • Batch Mode - Daily / Weekend.

What is the SAP FICO Course fees ?

  • Our fees are dependent on batches, You can call our executive and they tell you current batch fees.

Who are the trainers for SAP FICO Course ?

  • We have experienced trainers team with us, who is having more than 5+ years real time industry experience, other than that they have teaching experience.
  • Our trainers are experts in their field and have thorough domain knowledge and hands-on industry expertise.

 Do you provide SAP FICO Course training material to the candidates ?

  • Yes, study material will be provided to you in our website, we will give you access to our study material.

 How to register ?

  • There are two ways of getting register for the course, one you can enter Name, Email, Phone and Course and registrar on website.
  • Second, you can simply give us a call our executive will do all the needful for you.

 What are the payment options?

  • Bank Transfer (NEFT)
  • Cheque Payment
  • Google pay, Paytm
  • Western Union Money transfer 

Will I get a demo class?

  • Yes, you can registrar for Free Demo class.

What is system configuration required for an online training class?

  • You don’t need any special configuration, have the proper equipment like headphone, internet, regular configured course.

What if I have any questions during the class ?

  • You can always ask any question during class and the trainer will right away answer your question.

What if I miss the class?

  • You don’t need to worry we will give you recorded session, and we will let u know the class time for missed class from another batch, you just need to manage time.

Will there be interactive classes, Practical classes with real-time exposure?

 

There will be an interactive call, we will take practical classes.

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