Der Warenkorb ist leer.
Kostenloser Versand möglich
Kostenloser Versand möglich
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

Designing Data-Intensive Applications

BuchKartoniert, Paperback
CHF79.00
Zugehörige Produkte
anderssprachige Ausgabe

Beschreibung

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and mainteinability. In addition, we have an overwhelming variet of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive gjuide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
Weitere Beschreibungen

Details

ISBN/GTIN978-1-4493-7332-0
ProduktartBuch
EinbandKartoniert, Paperback
VerlagO'Reilly
Erscheinungsdatum14.03.2017
Auflage17. Dr. 2021
Seiten614 Seiten
SpracheEnglisch
MasseBreite 177 mm, Höhe 232 mm, Dicke 32 mm
Gewicht1008 g
Artikel-Nr.3304395
Weitere Details

Autor

Martin is a researcher in distributed systems at the University of Cambridge. Previously he was a software engineer and entrepreneur at Internet companies including LinkedIn and Rapportive, where he worked on large-scale data infrastructure. In the process he learned a few things the hard way, and he hopes this book will save you from repeating the same mistakes.





Martin is a regular conference speaker, blogger, and open source contributor. He believes that profound technical ideas should be accessible to everyone, and that deeper understanding will help us develop better software.