Design Data Intensive Applications
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11. Dezember 2025
O'Reilly
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Designing Data Intensive Applications: The Big Ideas Behind Reliable Scalable and Maintainable Systems
Books Subjects Computing Internet Databases Beginners Introduction Books Subjects Computing Internet Databases Database Design Theory Books Subjects Computing Internet Databases Applications Books Subjects Science Nature Maths Engineering Technology Production Manufacturing Operational Productivity Books Subjects Computing Internet Computer Science Information Systems Books Subjects Business Fice Law Management Human Resources Professional Development
Product Type: ABIS BOOK
Brand: O'Reilly UK
44,99 € AUF AMAZON
O'Reilly
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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#2
O'Reilly
Datenintensive Anwendungen designen: Konzepte für zuverlässige, skalierbare und wartbare Systeme (Animals)
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Amazon.de
#3
Independently published
Design Data-Intensive Applications: Building Scalable Architectures, Real-time Processing and Streamlined API Integration for Advanced Applications
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Amazon.de
#4
SPD
System Design Interview – An Insider's Guide: Volume 2
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#5
Independently published
Designing Data-Intensive Applications: The Essential Guide to Building Reliable, Scalable, and Maintainable Systems
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Amazon.de
#6
Packt Publishing
Hands-On Enterprise Application Development with Python: Design data-intensive Application with Python 3 (English Edition)
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Amazon.de
#7
QuickTechie.com | A career growth machine
Fast-Track Data-Intensive Application Design in 8 Hours (English Edition)
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#8
Now Publishers Inc
Data Structures for Data-Intensive Applications: Tradeoffs and Design Guidelines (Foundations and Trends® in Databases)
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#9
Packt Publishing
Architecting Data-Intensive Applications: Develop scalable, data-intensive, and robust applications the smart way (English Edition)
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Amazon.de
#10
designing data intensive applications
designing data-intensive applications
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