This book aims to show how to structure your applications to make them scalable, reliable, and maintainable in the long term. Author Martin Kleppmann examines the key principles, algorithms, and trade-offs of data systems. He examines the pros and cons of various technologies for processing and storing data.
<ASIN:1449373321>
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.
Author: Martin Kleppmann Publisher: O'Reilly Date: March 2017 Pages: 614 ISBN: 978-1449373320 Print: 1449373321 Kindle: B06XPJML5D Audience:Software engineers Level: intermediate Category: Data Science
- Look more deeply into the systems you already use, and learn how to use and operate them more effectively
- Make informed decisions by identifying the strengths and weaknesses of different tools
- Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity
- Understand the distributed systems research upon which modern databases are built
- Peek behind the scenes of major online services, and learn from their architectures
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Python All-in-One, 2nd Ed (For Dummies)
Authors: John Shovic and Alan Simpson Publisher: For Dummies Date: April 2021 Pages: 720 ISBN: 978-1119787600 Print: 1119787602 Kindle: B091DGDLK8 Audience: People wanting to learn Python Rating: 2 Reviewer: Mike James All-in-one refers to the fact that this is seven books put together - why?
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Visual Differential Geometry and Forms
Author: Tristan Needham Publisher: Princeton Pages: 584 ISBN: 978-0691203706 Print: 0691203709 Kindle: B08TT6QBZH Audience: Math enthusiasts Rating: 5 Reviewer: Mike James The best math book I have read in a long time...
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