To help realize Big Data's full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues.
- Covers computational platforms supporting Big Data applications
- Addresses key principles underlying Big Data computing
- Examines key developments supporting next generation Big Data platforms
- Explores the challenges in Big Data computing and ways to overcome them
- Contains expert contributors from both academia and industry
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