| Big Data: Concepts, Warehousing, and Analytics Contributor(s): Santos, Maribel Yasmina (Author), Costa, Carlos (Author) |
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ISBN: 8770221847 ISBN-13: 9788770221849 Publisher: River Publishers OUR PRICE: $109.25 Product Type: Hardcover - Other Formats Published: March 2020 |
| Additional Information |
| BISAC Categories: - Computers | Databases - Data Warehousing - Computers | Data Modeling & Design - Computers | Information Technology |
| Physical Information: 0.75" H x 6.69" W x 9.61" (1.55 lbs) 314 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Big Data is a concept of major relevance in today's world, sometimes highlighted as a key asset for productivity, growth, innovation, and customer relationships. Its popularity has increased considerably during recent 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. |