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BLOG: Simplifying Big Data

Jimmy Cheah | Feb. 24, 2012
To solve the Big Data challenge, enterprises need a complete and integrated solution to address the full spectrum of requirements.

For example, analysing inventory data from a smart vending machine in combination with the events calendar for the venue in which the vending machine is located, will dictate the optimal product mix and replenishment schedule for the vending machine.

The Optimum Big Data solution

To solve the Big Data challenge, enterprises need a complete and integrated solution to address the full spectrum of enterprise big data requirements. The ideal strategy is centred on the idea that enterprises can evolve their current data architecture to incorporate big data and deliver business value, leveraging the proven reliability, flexibility and performance of the company's systems to address their big data requirements.

This solution needs to be qualified to combine everything needed to meet the big data challenge - including software and hardware - into one engineered system delivering a complete, easy-to-deploy solution for acquiring, organising and loading big data and that is designed to deliver extreme analytics on all data types, with enterprise-class performance, availability, supportability and security. In short, it must deliver everything customers need to acquire, organise, analyse and maximise the value of Big Data within their enterprise.

Jimmy Cheah is managing director of Oracle Malaysia.

 

 

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