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Issue in Computer Security
After Lunch, things in the conference is getting little interesting. At 1.50 p.m. there are five locations inside the convention area that held different level of exposure to Big Data. At the Pyramid 2, will be holding Case Study presentation, while at Giza will be holding Demo Lab for demonstration. Continue with Guru Zone will be held at Pyramid 1. All of these are actually more for the experienced specialist in IT. But for the beginner, there’re also sub-events such as Startup and Back to School that was held at Hall Anukis and Hall Luxor.
To be brief with Big Data Understanding from the trip to the convention, it is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, search, sharing, storage, transfer, visualization, and information privacy. The term often refers simply to the use of predictive analytics or other certain advanced methods to extract value from data, and seldom to a particular size of data set. Analysis of data sets can find new correlations, to "spot business trends, prevent diseases, combating crime and so on." Scientists, practitioners of media and advertising and governments alike regularly meet difficulties with large data sets in areas including Internet search, finance and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, complex physics simulations, and biological and environmental research.
“To fully exploits and gain advantages from Bid Data, we need to realized the importance of the Internet of Things in Big Data, and expecting the standard volume in Big Data in Petabytes either from internal or external of an organization.” Says Nicholas Tan
“A Model needs to be constructed to exploits the Big Data, to gain advantages to ourselves or in business perspectives to gain profits. This can be achieved Steps of Understand, Harness, Focus, Utilize, and Build Model” says Nicholas Tan
We can actually have sets of “Open Data” from the Data.gov.my either for personal purposes or business purposes.