Software architecture for big data and the cloud
Software architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, securi...
Saved in:
Other Authors: | |
---|---|
Format: | eBook |
Language: | English |
Published: |
Cambridge, MA :
Morgan Kaufmann,
[2017]
|
Edition: | First edition. |
Subjects: | |
ISBN: | 9780128093382 9780128054673 |
Physical Description: | 1 online zdroj (xxxviii, 432 stran) |
Summary: | Software architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors. - Resumé vydavatel |
---|---|
Bibliography: | Obsahuje bibliografické odkazy a index. |
ISBN: | 9780128093382 9780128054673 |
Access: | Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity |