Scalable big data architecture : a practitioner's guide to choosing relevant big data architecture /

Saved in:

Bibliographic Details
Author / Creator:	Azarmi, Bahaaldine, author.
Imprint:	[Berkeley, CA] : Apress, 2016. New York, NY : Distributed to the Book trade worldwide by Springer ©2016
Description:	1 online resource (xiii, 141 pages) : illustrations.
Language:	English
Series:	The expert's voice in big data Expert's voice in big data.
Subject:	Big data. Databases. Big data. Databases. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11251751

Hidden Bibliographic Details
ISBN:	9781484213261 1484213262 1484213270 9781484213278 9781484213278
Digital file characteristics:	text file PDF
Notes:	Includes index. Includes bibliographical references. English. Online resource; title from PDF title page (SpringerLink, viewed January 4, 2016).
Summary:	Covering real-world, concrete industry use cases, this book is for developers, data architects, and data scientists looking for a better understanding of how to choose the most relevant pattern for a big data project and which tools to integrate into that pattern. --
Other form:	Printed edition: 9781484213278
Standard no.:	10.1007/978-1-4842-1326-1

Similar Items