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Engineering Agile Big-Data Systems-P2P

To be effective, data-intensive systems require extensive ongoing customization to reflect changing user requirements, organizational policies, and the structure and interpretation of the data they hold. Manual customization 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-P2P
English | 2018 | ISBN: 8770220166 | 436 Pages | PDF | 93 MB
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  1. row
    May 16th, 2019 | 05:44
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    May 16th, 2019 | 06:52

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