Big-Data and Hadoop Developer

simplilearn
4.6
4 opinions
  • Training was very apt. All the syllabus was covered with good examples.
    ← | →
  • Excellent, the trainer had very clear concept understanding - subject on topics.
    ← | →
  • Very good training delivered by Simplilearn. It was really helpful.
    ← | →

Course

Online

Price on request

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Description

  • Type

    Course

  • Methodology

    Online

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
2000+ certified and experienced trainers conduct trainings for various courses across the globe
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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Reviews

4.6
excellent
  • Training was very apt. All the syllabus was covered with good examples.
    ← | →
  • Excellent, the trainer had very clear concept understanding - subject on topics.
    ← | →
  • Very good training delivered by Simplilearn. It was really helpful.
    ← | →
100%
4.5
excellent

Course rating

Recommended

Centre rating

Atul Bhosale

4.5
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

Deepak Bablani

5.0
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

Anton Formoso

4.5
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

Lalit Kotharade

4.5
27/02/2014
What I would highlight: Overall a very good training.
What could be improved: Nothing
Would you recommend this course?: Yes
*All reviews collected by Emagister & iAgora have been verified

This centre's achievements

2017
2016

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 8 years

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

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