Big-Data and Hadoop Developer

simplilearn
Online

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Typology Course
Methodology Online
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  • Online
Description

Simplilearn is the World’s Largest Certification Training Provider, with over 400,000+ professionals trained globally
Trusted by the Fortune 500 companies as their learning provider for career growth and training
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All our Courses are designed and developed under a tried and tested Unique Learning Framework that is proven to deliver 98.6% pass rate in first attempt.

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Opinions

A
Atul Bhosale
11/03/2014
What I would highlight Training was very apt. All the syllabus was covered with good examples.

What could be improved Nothing

Would you recommend this course? Yes.
D
Deepak Bablani
07/03/2014
What I would highlight Excellent, the trainer had very clear concept understanding - subject on topics.

What could be improved Nothing

Would you recommend this course? Yes.
A
Anton Formoso
04/03/2014
What I would highlight Very good training delivered by Simplilearn. It was really helpful.

What could be improved Nothing

Would you recommend this course? Yes.
L
Lalit Kotharade
27/02/2014
What I would highlight Overall a very good training.

What could be improved Nothing

Would you recommend this course? Yes.

Course programme

Course Preview Course Agenda
  • Big Data and Hadoop Developer
    • Lesson 00 - Course Introduction
      • 0.1 Course Introduction
      • 0.2 Why Big Data
      • 0.3 What is Big Data
      • 0.4 What is Big Data (contd.)
      • 0.5 Facts about Big Data
      • 0.6 Evolution of Big Data
      • 0.7 Case Study—Netflix and the House of Cards
      • 0.8 Market Trends
      • 0.9 Course Objectives
      • 0.10 Course Details
      • 0.11 Project Submission and Certification
      • 0.12 On Demand Support
      • 0.13 Key Features
      • 0.14 Conclusion
    • Lesson 01 - Introduction to Big Data and Hadoop
      • 1.1 Introduction to Big Data and Hadoop
      • 1.2 Objectives
      • 1.3 Data Explosion
      • 1.4 Types of Data
      • 1.5 Need for Big Data
      • 1.6 Big Data and Its Sources
      • 1.7 Characteristics of Big Data
      • 1.8 Characteristics of Big Data Technology
      • 1.9 Knowledge Check
      • 1.10 Leveraging Multiple Data Sources
      • 1.11 Traditional IT Analytics Approach
      • 1.12 Traditional IT Analytics Approach (contd.)
      • 1.13 Big Data Technology—Platform for Discovery and Exploration
      • 1.14 Big Data Technology—Platform for Discovery and Exploration (contd.)
      • 1.15 Big Data Technology—Capabilities
      • 1.16 Big Data—Use Cases
      • 1.17 Handling Limitations of Big Data
      • 1.18 Introduction to Hadoop
      • 1.19 History and Milestones of Hadoop
      • 1.20 Organizations Using Hadoop
      • 1.21 VMware Player—Introduction
      • 1.22 VMware Player—Hardware Requirements
      • 1.23 Oracle VirtualBox to Open a VM
      • 1.24 Installing VM using Oracle VirtualBox Demo 01
      • 1.25 Opening a VM using Oracle VirtualBox Demo 02
      • 1.26 Quiz
      • 1.27 Summary
      • 1.28 Conclusion
    • Lesson 02 - Hadoop Architecture
      • 2.1 Hadoop Architecture
      • 2.2 Objectives
      • 2.3 Key Terms
      • 2.4 Hadoop Cluster Using Commodity Hardware
      • 2.5 Hadoop Configuration
      • 2.6 Hadoop Core Services
      • 2.7 Apache Hadoop Core Components
      • 2.8 Why HDFS
      • 2.9 What is HDFS
      • 2.10 HDFS—Real-life Connect
      • 2.11 Regular File System vs. HDFS
      • 2.12 HDFS—Characteristics
      • 2.13 HDFS—Key Features
      • 2.14 HDFS Architecture
      • 2.15 NameNode in HA mode
      • 2.16 NameNode HA Architecture
      • 2.17 HDFS Operation Principle
      • 2.18 File System Namespace
      • 2.19 NameNode Operation
      • 2.20 Data Block Split
      • 2.21 Benefits of Data Block Approach
      • 2.22 HDFS—Block Replication Architecture
      • 2.23 Replication Method
      • 2.24 Data Replication Topology
      • 2.25 Data Replication Representation
      • 2.26 HDFS Access
      • 2.27 Business Scenario
      • 2.28 Create a new Directory in HDFS Demo
      • 2.29 Spot the Error
      • 2.30 Quiz
      • 2.31 Case Study
      • 2.32 Case Study - Demo
      • 2.33 Summary
      • 2.34 Conclusion

Achievements for this centre

2016

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