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, th...
Na minha lista:
Autor principal: | Feeney, Kevin (auth) |
---|---|
Outros Autores: | Davies, Jim (auth), Welch, James (auth) |
Formato: | Recurso Electrónico Capítulo de Livro |
Idioma: | inglês |
Publicado em: |
Taylor & Francis
2018
|
Assuntos: | |
Acesso em linha: | DOAB: download the publication DOAB: description of the publication |
Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
Registos relacionados
-
Engineering Agile Big-Data Systems
Por: Feeney, Kevin
Publicado em: (2018) -
Technologies and Applications for Big Data Value
Publicado em: (2022) -
Classification and Data Science in the Digital Age
Publicado em: (2023) -
Introduction to Scientific Programming with Python
Por: Sundnes, Joakim
Publicado em: (2020) -
Deployment and Operation of Complex Software in Heterogeneous Execution Environments The SODALITE Approach /
Publicado em: (2022)