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CCC Big Data Foundation (BDF) Self-Study

This is a foundation level course designed to provide you with an understanding of Big Data, the potential sources of Big Data that can be…

Certificate Big Data Foundation
Duration 24 Hours
Delivery Online, Self-study
Accreditor Cloud Credential Council
Languages English

What is included in CCC Big Data Foundation (BDF) Self-Study

Course Description

This is a foundation level course designed to provide you with an understanding of Big Data, the potential sources of Big Data that can be used for solving real business problems, and overview of Data Mining and the tools used in it.

This is a fundamental course with practical exercises designed to provide you with hands-on experience in using two of the most popular technologies in Big Data processing – Hadoop and MongoDB. You will get the opportunity to practice installing these two technologies through lab exercises. The exercises expose you to real-life Big Data technologies with the purpose of obtaining results from real datasets from Twitter.

After completing the course, you will be equipped not only with fundamental Big Data knowledge, but will also be introduced to a working development environment containing Hadoop and MongoDB, installed by yourself. This practical knowledge can be used as a starting point in the organizational Big Data journey.

Course Information

Certification: Big Data Foundation

Duration: 24 Hours

Domain: Emerging Technologies

Delivery Method: Online, Self-study

Accreditor: Cloud Credential Council

Available Languages: English

Purchase Options: Pay Per Use Courseware


This course is best suited to Information Technology professionals who possess intermediate to advanced programming, system administration, or relational database skills and are looking to move into the area of Big Data. These include:

  • Software Engineers
  • Application Developers
  • IT architects
  • System administrators

The course can also be of benefit to other professionals, such as business analytics and research analytics, who possess strong Information Technology skills and have a deep interest in Big Data analytics and the benefits it can bring to an organization.

Learning Objectives

Individuals certified at this level will have demonstrated their understanding of:

  • Big Data fundamentals
  • Big Data technologies
  • Big Data governance
  • Available sources of Big Data
  • Data Mining, its concepts and some of the tools used for Data Mining
  • Hadoop, including its concepts, how to install and configure it, the concepts behind MapReduce, and how Hadoop can be used in real life scenarios
  • MongoDB, including its concepts, how to install and configure it, the concepts behind document databases and how MongoDB can be used in real life scenarios

Course Outline

Module 1: Course Introduction

Course Learning Objectives



Certification Value


Module 2: Big Data Fundamentals        

Big Data – History, Overview, and Characteristics  

Big Data Technologies – Overview

Big Data Success Stories  

Big Data – Privacy and Ethics         

Big Data Projects


Module 3: Big Data Sources     

Enterprise Data Sources  

Social Media Data Sources

Public Data Sources


Module 4: Data Mining – Concepts and Tools  

Data Mining – Introduction            

Data Mining – Tools


Module 5: Big Data Technologies – Hadoop

Hadoop Fundamentals    

Install and Configure        


Data Processing with Hadoop


Module 6: Big Data Technologies – MongoDB  

MongoDB Fundamentals

Install and Configure        

Document Databases       

Data Modelling with Document Databases


Module 7: Exam Preparation Guide     

Qualification Learning Objectives

Learning Level of the Syllabus


Exam Instructions

Tips for Exam Taking

Delivery is subject to Leapest terms and conditions.

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