Description: 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.
Price: 47.95 USD
Location: La Vergne, Tennessee
End Time: 2024-09-26T01:45:39.000Z
Shipping Cost: 5.5 USD
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Item Specifics
Restocking Fee: No
Return shipping will be paid by: Seller
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Subject: Design
Item Length: 9.1in
Item Height: 1.2in
Item Width: 7in
Author: Martin Kleppmann
Publication Name: Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Format: Trade Paperback
Language: English
Publisher: O'reilly Media, Incorporated
Publication Year: 2017
Type: Textbook
Item Weight: 35.6 Oz
Number of Pages: 614 Pages
