Training & Certifications


This program provides a solid base of knowledge by covering the origin and characteristics of Big Data, the tools and technologies such as Hadoop, MongoDB and the main players involved. The content is developed together with experts in the field to ensure applicability in real world scenarios.

This program is aiming at the fundamental Big Data knowledge, the potential sources of Big Data that can be used for solving real business problems and an overview of Data Mining and the tools used in it.


At the end of the program, the participants will be able to :

  • What is Big data, why to learn Big Data, why no one can escape from it
  • Introduction to Big Data, Big Data history and Big Data technologies.
  • Introduction to Big Data Framework.
  • How to install and manage Cloudera hadoop on Google Cloud.
  • You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive.

Lecturers, students, Big Data Scientist and more who are interesting in Big Data


This program is a 3 days of intensive training including the certification exam.


There is no pre-requisite in this program but basic knowledge in handling data is an advantage.


Chrome browser.
Google account for access Google Cloud Platform https://cloud.google.com/free/


CPU: Intel Core i5 – 6th Generation (Option: 7 above better)
Memory: 4GB (Option: 8GB better)
Hard disk: 10GB Free space
OS: Windows X64 (7, 8 or 10)


It is a closed-book format web-based or online examination
There will be 40 multiple-choice questions with a passing score of 65%
With 60 minutes’ exam duration.


In order for effective learning and full appreciation of this course, the whole course will be conducted with 45% of the time devoted to important concepts and other theory topics and 55% allotted for hands-on activities. Lecturers will be assisted by presentation slides and actual demonstrations for clear understanding and smooth follow-through during practical sessions. Active participant’s participation will be encouraged through individual work and collaborative effort.


  1. Hadoop Tutorial for Big Data Enthusiasts.
  2. Why is Hadoop Important ?
  3. History of Hadoop.
  4. Hadoop Ecosystem
  5. Hadoop Architecture
  1. Hadoop Tutorial for Big Data Enthusiasts.
  2. Why is Hadoop Important ?
  3. History of Hadoop.
  4. Hadoop Ecosystem
  5. Hadoop Architecture
  1. Modernizing Data Lakes and Data Warehouses with Google Cloud Platform.
  2. Cloudera introduction.
  3. Hadoop installation and management.
  4. Hadoop Analytics Tools.
  5. Use case.

Scroll to Top