Duration
1 day
OVERVIEW
This course aims to provide the participant with an overview of the impact of Big Data and how to strategize, effectively plan and execute their Big Data implementation. It will provide the participants with a good understanding on the various aspects in order for effective discussion and communication with the team.
AUDIENCE
This course is intended for C-level executives, senior management and IT personnel.
PREREQUISITE
None. (The 1-day course will assume that the participants have a basic understanding of Big Data).
OBJECTIVES
After completing this module, participants will be able to
- Understand the various benefits of Big Data.
- Plan for the implementation of Big Data Architecture.
- Mobilize existing resources effectively.
- Identify the gaps in resources.
COURSE OUTLINE
The course content will be delivered according to this schedule (E.g. typically a short course has a maximum of 7 hours per day, 9:00 am to 5:00 pm with an hour for lunch)
DAY1
0900 – 1040
Towards Big Data: The opening session will dwell straight into the characteristics of Big Data, on how current resources can be deployed and the Open Source landscape for Big Data Architecture ensuring vendor independence.
1040 – 1100
Morning Break
1100 – 1200
A Data Driven Organization: How an organization should look at the function of the analytics team where the three main phases of analytics should be in every part of the organization. The understanding of why certain events happened, what is the impact current and what should the organization do.
1200 – 1300
The Value of Hybrid Enterprise Database and Big Data This session focuses on how enterprise databases continue to be relevant and be complemented by Big Data. The hybrid approach will ensure value from existing data as enhancing the value of the new Big Data paradigm. Additional focus on Risk Analytics and how to exploit the value of cloud computing will be discussed.
1300 – 1400
Lunch
1400 – 1440
Harnessing and Unleashing the Power of Big Data: What’s needed? This session will highlight the importance of data engineering to build the right storage that can be harnessed efficiently for effective analytics. A high-level view of the various considerations for data engineering will be covered.
1440 – 1540
A Big Data Architecture: Storage, Access and Real-Time Data. The objective of this session is to present the technicalities of the Big Data Architecture from a business operations perspective. It will cover the storage of the big data, the access to the datamarts and addresses the computation of real-time data.
1540 – 1600
Afternoon Break
1600 – 1700
The Team: The Skillsets and Resources Needed to Manage and Maintain the Big Data Architecture In this session, a discussion on the type of resource required to manage and maintain the Big Data Architecture. The discussion will touch on whether the resources are available in a typical information technology department or potentially new skillsets would be required.
1700 – 1730
Wrap Up Wrap up and general Q&A session.
Programme scope, delivery arrangements and suitability are confirmed during enquiry.