Big-Data and Hadoop Developer
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Training was very apt. All the syllabus was covered with good examples.
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Excellent, the trainer had very clear concept understanding - subject on topics.
← | →
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Very good training delivered by Simplilearn. It was really helpful.
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Course
Online

Description
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Type
Course
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Methodology
Online
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Reviews
-
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 rating
Recommended
Centre rating
Atul Bhosale
Deepak Bablani
Anton Formoso
Lalit Kotharade
This centre's achievements
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 7 years
Course programme
- 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
- Lesson 00 - Course Introduction
Big-Data and Hadoop Developer