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Více informací o knize Engineering Agile Big-Data Systems

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Anotace knihy

To be effective, data-intensive systems require extensive ongoing customisation to reflect changing user requirements, organisational policies, and the structure and interpretation of the data they hold. Manual customisation is expensive, time-consuming, and error-prone. In large complex systems, the value of the data can be such that exhaustive testing is necessary before any new feature can be added to the existing design. In most cases, the precise details of requirements, policies and data will change during the lifetime of the system, forcing a choice between expensive modification and continued operation with an inefficient design.Engineering Agile Big-Data Systems outlines an approach to dealing with these problems in software and data engineering, describing a methodology for aligning these processes throughout product lifecycles. It discusses tools which can be used to achieve these goals, and, in a number of case studies, shows how the tools and methodology have been used to improve a variety of academic and business systems.

Parametry knihy

• Plný název: Engineering Agile Big-Data Systems
• Autor: Kevin Feeney, Jim Davies, James Welch
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 434
• EAN: 9788770043816
• ID: 46534688
• Nakladatelství: River Publishers
• Hmotnost: 453 g
• Rozměry: 234 × 156 mm
• Datum vydání: 21. October 2024

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