Engineering agile big-data systems
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 …
Read More ↓Title Statements
- Full title :Engineering agile big-data systems / editors, Kevin Feeney [and seven others]
Summary
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.
Read More ↓Edition Statements
- Publication Date:2018
Publication Statements
- Publisher(s):River Publishers
- Place of Publication:Aalborg
- Language:eng
- Publication Date:2018
The Physical Object
- Description:1 online resource (436 pages)
Edition Identifiers
- ISBN:8770220158, 9788770220156, 1523139056, 9781523139057, 9781003338123, 1003338127, 9781000792546, 1000792544, 9781000795868, 1000795861
- DOI:10.1201/9781003338123
- oclc:on1079008279
- LC Classification:QA76.9.S88
- Dewey Decimal:004.21
Table of Contents
Front Cover; Half Title Page; RIVER PUBLISHERS SERIES IN SOFTWARE ENGINEERING; Title Page; Copyright Page; Contents; Preface; Acknowledgements; List of Contributors; List of Figures; List of Tables; List of Abbreviations; Chapter 1 -- Introduction; 1.1 State of the Art in Engineering Data-Intensive Systems; 1.1.1 The Challenge; 1.2 State of the Art in Semantics-Driven Software Engineering; 1.2.1 The Challenge; 1.3 State of the Art in Data Quality Engineering; 1.3.1 The Challenge; 1.4 About ALIGNED; 1.5 ALIGNED Partners; 1.5.1 Trinity College Dublin
1.5.2 Oxford University -- Department of Computer Science1.5.3 Oxford University -- School of Anthropology and Museum Ethnography; 1.5.4 University of Leipzig -- Agile Knowledge Engineering and Semantic Web (AKSW); 1.5.5 Semantic Web Company; 1.5.6 Wolters Kluwer Germany; 1.5.7 Adam Mickiewicz University in Poznań; 1.5.8 Wolters Kluwer Poland; 1.6 Structure; Chapter 2 -- ALIGNED Use Cases -- Data and SoftwareEngineering Challenges; 2.1 Introduction; 2.2 The ALIGNED Use Cases; 2.2.1 Seshat: Global History Databank; 2.2.2 PoolParty Enterprise Application Demonstrator System; 2.2.3 DBpedia
2.2.4 Jurion and Jurion IPG2.2.5 Health Data Man…
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