Certificate In Hadoop & MapReduce Fundamentals Online Course

to give you the basic overview of the Hadoop framework.


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Save AU$500 (83%)
OFF RRP AU$599
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Learn to give you the basic overview of the Hadoop framework

Hadoop: Fundamentals training course is designed to give you the basic overview of the Hadoop framework. The course covers the fundamental concepts to process and analyze large sets of data stored in HDFS. The course also briefly touches the more advanced concepts like Sqoop and Flume for data ingestion. The more details about these advanced concepts is covered under the course Hadoop: Intermediate.

The Hadoop: Fundamentals course is part of a two course series which covers the essential concepts in getting to know Hadoop and the big-data analytics. With increasing digital trend in the world, the importance of big data and data analytics is going to continue growing in the coming years. This course will enable the candidates to explore opportunities in this growing field of digital science.
This course will teach students about Hadoop architecture, ETL, and MapReduce. This course will teach students about Hadoop architecture, ETL, and MapReduce. This course will teach students about Hadoop architecture, ETL, and MapReduce. This course will teach students about Hadoop architecture, ETL, and MapReduce. This course will teach students about Hadoop architecture, ETL, and MapReduce.

Hadoop is becoming an essential tool in the ever-growing Big-Data architecture. This training is designed to benefit:

  • Software developers and architects working in Big-Data organizations
  • Business and technical analytics professionals
  • Senior IT professionals
  • Data management professionals
  • Project managers
  • Data scientists 

Course Fast Facts:

  1. Learn the fundamentals of Hadoop & MapReduce Fundamentals
  2. Comprehensive 2 module Accredited Certificate In Hadoop & MapReduce Fundamentals Online Course
  3. Study along with simple instructions & demonstrations
  4. Written and developed by leading Hadoop & MapReduce Fundamentals experts
  5. Receive one-on-one online help & support
  6. Unlimited, lifetime access to online course
  7. Certificate of completion
  8. Study at your own pace with no rigid class timetables, 24/7 from any computer or smart device

Course Delivery

Courses are accessed online  by any device including PC, tablet or Smart Phone. Upon purchase an automated welcome email will be sent to you (please check your junk email inbox if not received as this is an automated email), in order for you to access your online course, which is Available 24/7 on any computer or smart mobile device. 

Recognition & Accreditation

All students who complete this course, receive a certificate of completion and will be issued a certificate via email.

Hadoop Architecture

  • Prerequisites - Part 1 
  • Prerequisites - Part 2 
  • Prerequisites - Part 3 
  • Introduction - Part 1 
  • Introduction - Part 2 
  • Introduction - Part 3 
  • History - Part 1 
  • History - Part 2 
  • History - Part 3 
  • Architecture - Part 1 
  • Architecture - Part 2 
  • Architecture - Part 3 
  • Ecosystems - Part 1 
  • Ecosystems - Part 2 
  • Ecosystems - Part 3 
  • Data Delivery in Hadoop - Part 1 
  • Data Delivery in Hadoop - Part 2 
  • Data Delivery in Hadoop - Part 3 
  • HDFS Basics - Part 1 
  • HDFS Basics - Part 2A 
  • HDFCT07B - Part 2B 
  • HDFS Basics - Part 3 

ETL and MapReduce

  • Big Data Sources And ETL - Part 1 
  • Big Data Sources And ETL - Part 2 
  • Big Data Sources And ETL - Part 3 
  • ETL Demonstration - Part 1 
  • ETL Demonstration - Part 2 
  • ETL Demonstration - Part 3 
  • Understanding MapReduce - Part 1 
  • Understanding MapReduce - Part 2 
  • Understanding MapReduce - Part 3 
  • MapReduce Demonstration - Part 1 
  • MapReduce Demonstration - Part 2 
  • MapReduce Demonstration - Part 3 
  • Developing MapReduce - Part 1 
  • Developing MapReduce - Part 2A 
  • MapReduce Demonstration - Part 2B 
  • MapReduce Demonstration - Part 3 
  • Schedule MapReduce - Part 1 
  • Schedule MapReduce - Part 2 
  • Schedule MapReduce - Part 3 

Entry requirements

Students must have basic literacy and numeracy skills.

Minimum education

Open entry. Previous schooling and academic achievements are not required for entry into this course.

Computer requirements

Students will need access to a computer and the internet. 

Minimum specifications for the computer are:

Windows:

  • Microsoft Windows XP, or later
  • Modern and up to date Browser (Internet Explorer 8 or later, Firefox, Chrome, Safari)

MAC/iOS

  • OSX/iOS 6 or later
  • Modern and up to date Browser (Firefox, Chrome, Safari)

All systems

  • Internet bandwidth of 1Mb or faster
  • Flash player or a browser with HTML5 video capabilities(Currently Internet Explorer 9, Firefox, Chrome, Safari)

Students will also need access the following applications:

Adobe Acrobat Reader

About this Course

Learn to give you the basic overview of the Hadoop framework

Hadoop: Fundamentals training course is designed to give you the basic overview of the Hadoop framework. The course covers the fundamental concepts to process and analyze large sets of data stored in HDFS. The course also briefly touches the more advanced concepts like Sqoop and Flume for data ingestion. The more details about these advanced concepts is covered under the course Hadoop: Intermediate.

The Hadoop: Fundamentals course is part of a two course series which covers the essential concepts in getting to know Hadoop and the big-data analytics. With increasing digital trend in the world, the importance of big data and data analytics is going to continue growing in the coming years. This course will enable the candidates to explore opportunities in this growing field of digital science.
This course will teach students about Hadoop architecture, ETL, and MapReduce. This course will teach students about Hadoop architecture, ETL, and MapReduce. This course will teach students about Hadoop architecture, ETL, and MapReduce. This course will teach students about Hadoop architecture, ETL, and MapReduce. This course will teach students about Hadoop architecture, ETL, and MapReduce.

Hadoop is becoming an essential tool in the ever-growing Big-Data architecture. This training is designed to benefit:

  • Software developers and architects working in Big-Data organizations
  • Business and technical analytics professionals
  • Senior IT professionals
  • Data management professionals
  • Project managers
  • Data scientists 

Course Fast Facts:

  1. Learn the fundamentals of Hadoop & MapReduce Fundamentals
  2. Comprehensive 2 module Accredited Certificate In Hadoop & MapReduce Fundamentals Online Course
  3. Study along with simple instructions & demonstrations
  4. Written and developed by leading Hadoop & MapReduce Fundamentals experts
  5. Receive one-on-one online help & support
  6. Unlimited, lifetime access to online course
  7. Certificate of completion
  8. Study at your own pace with no rigid class timetables, 24/7 from any computer or smart device

Course Delivery

Courses are accessed online  by any device including PC, tablet or Smart Phone. Upon purchase an automated welcome email will be sent to you (please check your junk email inbox if not received as this is an automated email), in order for you to access your online course, which is Available 24/7 on any computer or smart mobile device. 

Recognition & Accreditation

All students who complete this course, receive a certificate of completion and will be issued a certificate via email.

Hadoop Architecture

  • Prerequisites - Part 1 
  • Prerequisites - Part 2 
  • Prerequisites - Part 3 
  • Introduction - Part 1 
  • Introduction - Part 2 
  • Introduction - Part 3 
  • History - Part 1 
  • History - Part 2 
  • History - Part 3 
  • Architecture - Part 1 
  • Architecture - Part 2 
  • Architecture - Part 3 
  • Ecosystems - Part 1 
  • Ecosystems - Part 2 
  • Ecosystems - Part 3 
  • Data Delivery in Hadoop - Part 1 
  • Data Delivery in Hadoop - Part 2 
  • Data Delivery in Hadoop - Part 3 
  • HDFS Basics - Part 1 
  • HDFS Basics - Part 2A 
  • HDFCT07B - Part 2B 
  • HDFS Basics - Part 3 

ETL and MapReduce

  • Big Data Sources And ETL - Part 1 
  • Big Data Sources And ETL - Part 2 
  • Big Data Sources And ETL - Part 3 
  • ETL Demonstration - Part 1 
  • ETL Demonstration - Part 2 
  • ETL Demonstration - Part 3 
  • Understanding MapReduce - Part 1 
  • Understanding MapReduce - Part 2 
  • Understanding MapReduce - Part 3 
  • MapReduce Demonstration - Part 1 
  • MapReduce Demonstration - Part 2 
  • MapReduce Demonstration - Part 3 
  • Developing MapReduce - Part 1 
  • Developing MapReduce - Part 2A 
  • MapReduce Demonstration - Part 2B 
  • MapReduce Demonstration - Part 3 
  • Schedule MapReduce - Part 1 
  • Schedule MapReduce - Part 2 
  • Schedule MapReduce - Part 3 

Entry requirements

Students must have basic literacy and numeracy skills.

Minimum education

Open entry. Previous schooling and academic achievements are not required for entry into this course.

Computer requirements

Students will need access to a computer and the internet. 

Minimum specifications for the computer are:

Windows:

  • Microsoft Windows XP, or later
  • Modern and up to date Browser (Internet Explorer 8 or later, Firefox, Chrome, Safari)

MAC/iOS

  • OSX/iOS 6 or later
  • Modern and up to date Browser (Firefox, Chrome, Safari)

All systems

  • Internet bandwidth of 1Mb or faster
  • Flash player or a browser with HTML5 video capabilities(Currently Internet Explorer 9, Firefox, Chrome, Safari)

Students will also need access the following applications:

Adobe Acrobat Reader

We provide a 7 Day Money Back Refund on all Courses

Now Only AU$99 Save AU$500 (83%)
OFF RRP AU$599
Delivery Method Online
Get Info Pack

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Course Summary

Course ID No.: 009SRHAMRF
Delivery Mode: Online
Course Access: Unlimited Lifetime
Tutor Support: Yes
Time required: Study at your own pace
Course Duration: 3 Hours
Assessments: Yes
Qualification: Certificate

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