Big Data Foundation

The Big Data Foundation Certification is essential for everyone working with Big Data. This certification provides an understanding of Big Data, potential data sources that can be used to solve real world problems, and an overview of data mining and its capabilities. Certification will help you become a Big Data Ready Professional.

  • Classroom Training

    3-day classroom training
    Inclusive of Exam
    40 Multiple Choice Questions & 26/40 Passing Rate

  • TO BE CONFIRMED SOON
  • Please contact us directly for more details

DAY1


9:00AM – 10:00AM:​
Module 1. Big Data Fundamentals​

1.1 Big Data – History, Overview, and Characteristics​

History​
Big Data Definition​
Big Data Benefits​
Big Data Characteristics – Volume, Velocity & Variety​

10:00AM – 10:15AM: Breakfast​
10:15AM – 1:00PM:​

1.2 Big Data Technologies – Overview​

1.3 Big Data Success Stories​

1.4 Big Data – Privacy and Ethics​

Privacy – Compliance​
Privacy – Challenges​
Privacy – Approach​
Ethics​

1.5 Big Data Projects​

Who Should Be Involved?​
What Is Involved?

Module 2. Big Data Sources​

2.1 Enterprise Data Sources​

Enterprise Systems​
Oracle​
SAP​
Microsoft​
Data Warehouses​
Unstructured Data – Introduction​
Unstructured Data – Metadata​

1:00PM- 2:00PM: Lunch
2:00PM – 4:00PM: ​

2.2 Social Media Data Sources​

Introduction​
Facebook – Introduction​
Facebook – Public Feed API​
Facebook – Keyword Insights API​
Facebook – Graph API​
Twitter – Introduction​
Twitter – Streaming APIs​
Twitter – REST APIs​
Twitter – REST APIs​
Other Social Media​

4:00PM – 4:15PM: Tea time​
4:15PM – 5:00PM:​

2.3 Public Data Sources​

Introduction​
Weather​
Economics​
Finance​
Regulatory Bodies

DAY2


9:00AM – 10:00AM:​

Module 3. Data Mining – Concepts and Tools​

3.1 Data Mining – Introduction​

Introduction​
Types of Data Mining – Overview​

10:00AM – 10:15AM: Breakfast​
10:15AM – 1:00PM:​

Types of Data Mining – Classification​
Types of Data Mining – Association​
Types of Data Mining – Clustering​

3.2 Data Mining – Tools​

Introduction​
Weka​
Modules of Weka Applications​
KNIME​
KNIME – Example​
R Language​

1:00PM- 2:00PM: Lunch​
2:00PM – 4:00PM: ​

Module 4. Big Data Technologies – Hadoop​

4.1 Hadoop Fundamentals​

Introduction​
Main Components of Hadoop​
Additional Components of Hadoop​

4.2 Install and Configure​

Download​
How to Install and Configure​

4.3 MapReduce​

Introduction​
How Does It Work?

4.4 Data Processing with Hadoop​

Introduction​
Twitter Sentiment Analysis – Overview​
Twitter Sentiment Analysis – Algorithm​

4:00PM – 4:15PM: Tea time​
4:15PM – 5:00PM:​

Network Log Analysis – Overview​
Network Log Analysis – Algorithm​

DAY3


9:00AM – 10:00AM:​

Module 5. Big Data Technologies – MongoDB

5.1 MongoDB Fundamentals​

Introduction​
Replication​
Sharding​

10:00AM – 10:15AM: Breakfast​
10:15AM – 1:00PM:​

Sharding and Replication​
MongoDB Ecosystem – Languages and Drivers​
MongoDB Ecosystem – Hadoop Integration​
MongoDB Ecosystem – Tools​

5.2 Install and Configure​

Download​
How to Install and Configure​

1:00PM- 2:00PM: Lunch​
2:00PM – 4:00PM: ​

5.3 Document Databases​

Introduction​
Documents​
Document Design Considerations​
Fields​

5.4 Data Modelling with Document Databases​

Introduction​
Twitter Sentiment Analysis​
Twitter Sentiment Analysis – Algorithm​
Network Log Analysis​
Network Log Analysis – Algorithm

What are the course objectives?


  • Candidates can expect to gain knowledge and understanding in the following upon successful completion of the education and examination components related to this certification.
  • Explain Big Data, its origin, and its characteristics.
  • Discuss about the tools applicable to Big Data processing.
  • Explain data mining.
  • Discuss the popular Big Data technologies – Hadoop and MongoDB.
  • Discuss the Big Data projects and the main players involved.
  • Identify and obtain relevant datasets when looking at a business problem.
  • Install and manage Big Data processing environments based on Hadoop or MongoDB at a departmental level.

Who should take the course?


  • Software Engineers​
  • Application Developers​
  • IT Architects​
  • System administrators

Who is your trainer for the program?


  • Mr Magin

We offer the following options:


  • Cash
  • HRDF Claimable
  • Maybank Ezpay (Up to 24 months @ 0% Interest)
  • CIMB Easy Pay (Up to 12 months @ 0% Interest)
  • Cash Installment (Case by case basis)

Futureproof Yourself With Us!

Find Out More