Big Data Foundation
 
Certificate:  Big Data Foundation 
Duration:  2 Weeks
Accreditor: Cloud Credential Council
Language: English
 
 
 
 
Course Description:
 
The Big Data foundation course provides you with an understanding of Big Data, potential data sources that can be used for solving real business problems, and an 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.
 
 
Audience:
 
The course benefit professionals such as business analytics and research analytics, who possess Information Technology skills and have a deep interest in Big Data analytics and the benefits it can bring to an organization. This course is suited to professionals who possess intermediate to advanced programming, system administration, or relational database skills and are looking to move into the area of Big Data.
 
 
 
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
 
Benefits of taking this course:
 
Participants in this course will obtain the following benefits:
 
  • Detailed understanding of Big Data and Data Mining concepts.
  • Ability to identify and obtain relevant datasets when looking at a business problem.
  • Ability to install and manage Big Data processing environments based on Hadoop or MongoDB at a departmental level.
 
Prerequisites:
 
None
 
Course Materials:
 
  • Course Book
  • Labs
 
Examination:
Exam Format: closed-book format
Exam Delivery: Online and paper-based
Questions: 40 questions
Passing Score: 65%
Exam Duration: 60 minutes. 15 minutes extra time for non-native English speakers
Proctoring: Web proctoring
 
 
Technical Requirements:
 
For eBooks:
  • Internet is required only for downloading the eBook. The eBooks can be read offline.
  • eBooks can be downloaded and read on the following devices Laptop, tablet, SmartPhone, eReader PDF Reader, recommended Adobe Reader.
 
For practical exercises:
  • Laptop with a minimum of 4GB RAM
  • Participants need to bring laptops
 
 
Agenda:
 
Week 1 Week 2
Course Introduction Big Data Technologies – Hadoop
Big Data Fundamentals Big Data Technologies – MongoDB
Big Data Sources Exam Preparation Guide
Data Mining – Concepts and Tools Exam
 
 
Cloud Credential Council® is a registered trademark.
 
 
 
Book your Orientation Session 
 
For Information and inquiries please call
0100 088 7542
 
Email: IMT@eslsca.org