Approach to Big Data Applications

The importance of big data doesn’t revolve around how much data you have, but what you do with it. You can take data from any source and analyse it to find answers that enable choices and smart decision making. When combining big data with high-powered analytics, you can accomplish business related tasks such as:

• Determining root causes of failures, issues and defects in near-real time.
• Generating coupons at the point of sale based on the customer’s buying habits.
• Recalculating entire risk portfolios in minutes.
• Detecting fraudulent behavior before it affects your organisation.

However, the traditional patterns and practices for big data application development simply cannot deliver the millisecond response times and near-perfect reliability these systems require. By stacking loosely-coupled system of independent, isolated components that communicate via asynchronous message passing, these systems can become highly responsive to changes in load, extremely fault tolerant through self-healing, and designed to elastically scale. Join us over 2 evenings to stack up, learn and exchange on how to use an apps approach to tackle Big Data problems.

For enquiries, please contact Maybelline at maybelline@nus.edu.sg or +65 6516 7646.

 

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Updated as at 18 August 2016