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 maintainability. In addition, we have an overwhelming variety 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 guide, 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.Peer under the hood of the systems you already use, and learn how to use and operate them more effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsNavigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their architectures
Price: 22.99 USD
Location: Charlotte, North Carolina
End Time: 2024-09-26T21:48:26.000Z
Shipping Cost: 6.88 USD
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Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
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
