Course Detail


Big Data Hadoop Certification Training(Free Course)

Course Added By - Kloudmagica admin (Teacher)

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Course Description

Kindly purchase full course from 

https://goo.gl/N6PDVg

This Hadoop training course is designed to establish and develop you into a Certified Big Data Expert. The training provides you with a unique and practical training experience on Hadoop ecosystem and exposes you to the best practices regarding HDFS, MapReduce, Hive, Pig, and Sqoop. Once the course is fully accomplished, KloudMagica will award you with a Valid Certification that certifies you as a Big Data Expert and opens new and rich career opportunities.

 

Training Objectives

In order for KloudMagica to nurture you into a Big Data Expert, the course entails the following important objectives:

  • Master the concepts of HDFS and MapReduce framework and Understand Hadoop 2.x Architecture
  • Setup Hadoop Cluster and write Complex MapReduce programs
  • Learn data loading techniques using Sqoop
  • Perform data analytics using Pig, Hive and YARN
  • Implement best practices for Hadoop development
  • How will I benefit from learning Hadoop and Big data?

Big Data and Hadoop experts are quite high in demand and the market is expected to touch close to a 100 Billion by 2022. Due to the high demand, there is a shortage of experts in this field and when demand is more than supply, the prices hike and that means salaries are going to sky rocket for Big Data and Hadoop Experts.

Who would benefit the most from this course?

This training course is going to open new doors to career opportunities and success for a number of professionals such as:

  • Software Developers and Architects
  • Analytics Professionals
  • Senior IT professionals
  • Testing and Mainframe professionals
  • Data Management Professionals
  • Business Intelligence Professionals
  • Project Managers
  • Aspiring Data Scientists
  • Graduates looking to build a career in Big Data Analytics

 

Are there any prerequisites or prior qualifications/eligibility criteria for this course?

Not really, though basic knowledge of Java Essentials would be a plus. In order to make up for the same, KloudMagica is offering a complimentary access to “Java Essentials for Hadoop” course. Besides Java, knowledge of SQL and Linux could also be beneficial.

 

GETTING TO KNOW BIG DATA

Module 1, session 1, Part 1
      What is Data?
      Format of data

  •         Unstructured Data

  •          Structured Data

  •          Semi-structured Data

      Units of measurement
      What is Big Data?

Module 1, Session 1, Part 2
      Evolution of Big Data
      Characteristics of Big Data

  •          Volume

  •          Velocity

  •          Variety

      Characteristics of Big Data-Revision


Module 1 session 2, Part 1
      The Additional Four V’s

  •          Veracity

  •          Variability

  •          Value

  •          Visualization

      The Additional Four V’s - Revision
      Big Data Statistics
      Challenge with Big Data
      Sources of Big Data
      RECAP

HADOOP ARCHITECHTURE & HDFS

Module 2, Session 3
      HDFS- Write Operation
      Writing to HDFS - step by step
      Writing to HDFS-replication pipeline 
      Success report for HDFS pipeline write
      HDFS multi-block replication pipeline
      Revision-what we have learnt in HDFS- write operation
      Re-replicating Missing Replicas
      Client read- from HDFS        
      Data node read - from HDFS
      Mechanics of an HDFS delete

 

APACHE HADOOP YARN

Module 4, Session 1
      Hadoop History
      Hadoop 1.X
      Hadoop 1.X –Limitations

Module 4, Session 2
      YARN
      YARN Components
      Container x
      NodeManager  
      ApplicationMaster
      Resource Manager

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(Course Completed 0%)
MapReduce-Session-1.1.1 (What is Data + Format of data)
MapReduce-Session-1.1.2 (Evolution of Big Data + Characteristics of Big Data(3V))
MapReduce-Session-1.2.1 (The Additional four V’s(Veracity, Variability, Value and Visualization))
MapReduce-Session-2.3.1 (HDFS-Read, Write and Delete Operation)
MapReduce-Session-4.1.1 (Hadoop History + Hadoop 1.X + Hadoop 1.X –Limitations)

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