BIG DATA FOUNDATION - (2 DAYS)                                   SPECIAL PROMOTIONAL COURSE FEE @ $2675 ONLY (Inclusive GST)

Have a group of participants? We offer a special corporate rate for corporate clients. Contact us to find out more.

Course Overview

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 also provide an overview of Data mining and the tools used in it.

This is a fundamental course with practical exercises designed to provideyou with some degree of hands -on experiencein using two of the most popular technologies in Big Data processing -Hadoop and MongoDB. You will get opportunity to practice installing these two technologies through our Work-Labs. The course exposes you to real-life Big Data technologies with the purpose of obtaining results from real datasets from Twitters.

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 organization Big Data journey.

Course Duration

2 days (09.00am - 06.00pm)

Target Audience

Best suited to Information Technology professionals who possess intermediate to advanced programming, systems administration or relational database skills and are looking to move into the area of Big Data. These include

1.  Software Engineers

2.  Application Developers

3.  IT Architects

4.  System Administrators

The course can also be of benefit to other professionals, e.g. business analysts, market/data researchers, etc. 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.

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.

Course Study Material

You will receive the following as part of this course:

•    Participant Handbook

•    eBook.

Technical Requirements

For eBooks:

•    Laptop, tablet, SmartPhone, eReader (no Kindle)

•    eBook download instructions

For practical exercises:

•    Laptop with a minimum of 4GB RAM

•    Participants need to bring laptops

About The Examination

•    Exam format:
closed-book format. Online. Participants may bring paper-based dictionaries. No electrical devices are permitted.

•    Question: 40 multiple choice questions

•    Passing Score: 65%

•    Exam Duration: 60 minutes. 15 minutes extra time for non-native English speakers

•    Proctoring: Web proctoring.

Course Outline

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

Big Data Sources

• Enterprise Data Sources

• Social Media Data Sources

• Public Data Sources

Data Mining (Concepts and Tools)

• Data Mining (Introduction)

• Data Mining (Tools)

 Big Data Technologies - Hadoop

• Hadoop Fundamentals

• Install and Configure

• MapReduce

• Data Processing with Hadoop

• Practical Work

Big Data Technologies - MongoDB

• MongoDB Fundamentals

• Install and Configure

• Document Databases

• Data Modeling with Document Databases

• Practical Work


For Inquiry
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