Market and Business Drivers for Big Data Analytics
We consider the market conditions that have enabled broad acceptance of big data analytics, including commoditization of hardware and software, increased data volumes, growing variation in types of data assets for analysis, different methods for data delivery, and increased expectations for real-time integration of analytical results into operational processes. We examine some contrasting approaches in adopting high performance capabilities, such as simplified execution and application development models, scalable storage, alternative data management schemes, and the alternative hardware and software appliance models (as well as cloud-based or utility models) for instituting the big ...
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