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Big Data - Concepts, Warehousing, and Analytics (Hardcover)
Loot Price: R3,015
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Big Data - Concepts, Warehousing, and Analytics (Hardcover)
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Big Data is a concept of major relevance in today's world,
sometimes highlighted as a key asset for productivity growth,
innovation, and customer relationship, whose popularity has
increased considerably during the last years. Areas like smart
cities, manufacturing, retail, finance, software development,
environment, digital media, among others, can benefit from the
collection, storage, processing, and analysis of Big Data,
leveraging unprecedented data-driven workflows and considerably
improved decision-making processes. The concept of a Big Data
Warehouse (BDW) is emerging as either an augmentation or a
replacement of the traditional Data Warehouse (DW), a concept that
has a long history as one of the most valuable enterprise data
assets. Nevertheless, research in Big Data Warehousing is still in
its infancy, lacking an integrated and validated approach for
designing and implementing both the logical layer (data models,
data flows, and interoperability between components) and the
physical layer (technological infrastructure) of these complex
systems. This book addresses models and methods for designing and
implementing Big Data Systems to support mixed and complex decision
processes, giving special attention to BDWs as a way of efficiently
storing and processing batch or streaming data for structured or
semi-structured analytical problems.
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