Special section on large-scale analytics
Big Data is no longer exclusively the domain of big organizations. Companies, collaborations, and organizations of all types and sizes are increasingly faced with the need to analyze and make sense of large and growing collections of data. Solving the challenge of large-scale analytics requires innovation across the spectrum of data management: Large volumes of data have to be acquired, processed, stored, and eventually reclaimed. Complex statistical procedures must be applied to those large data sets. Transactional guarantees are required to provide a consistent picture with operational systems. Metadata must be maintained to provide the context of the underlying raw data for later analysis. These challenges must be faced independently and together in order to establish a scalable, affordable, and flexible large-scale analytics infrastructure.
This special section focuses on conceptual and systems-architecture issues in this emerging area. The three selected papers present recent effor ...
- Special section on large-scale analytics
The VLDB Journal
Volume 21, Issue 5 , pp 587-588
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