This book describes a set of patterns that have been observed in mainstream open-source distributed systems. Unmesh Joshi looks at how distributed systems are inherently stateful systems, and what can and will go wrong when data is stored on multiple servers--from process crashes to network delays and unsynchronized clocks.
<ASIN: 0138221987>
The book features real-world code examples from systems like Kafka and Kubernetes, along with these patterns and solutions to prepare you to confidently traverse open-source codebases and understand implementations you encounter "in the wild."
Author: Unmesh Joshi Publisher: Addison-Wesley Date: November 2023 Pages: 464 ISBN: 978-0138221980 Print: 0138221987 Kindle: B0CCD3F8BH Audience: General Level: Intermediate Category: Methodology

Topics covered:
- Review the building blocks of consensus algorithms, like Paxos and Raft, for ensuring replica consistency in distributed systems
- Understand the use of logical timestamps in databases, a fundamental concept for data versioning
- Explore commonly used partitioning schemes, with an in-depth look at intricacies of two-phase-commit protocol
- Analyze mechanisms used in implementing cluster coordination tasks, such as group membership, failure detection, and enabling robust cluster coordination
- Learn techniques for establishing effective network communication between cluster nodes.
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R for the Rest of Us
Author: David Keyes Publisher: No Starch Press Date: June 2024 Pages: 256 ISBN: 978-1718503328 Print: 1718503326 Kindle: B0CD3GV46N Audience: Beginners interested in R Rating: 3 Reviewer: Mike James Well I'm certainly the "rest of us" - what about you?
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Foundational Python For Data Science
Author: Kennedy Behrman Publisher: Pearson Pages:256 ISBN: 978-0136624356 Print: 0136624359 Kindle: B095Y6G2QV Audience: Data scientists Rating: 4.5 Reviewer: Kay Ewbank
This book sets out to be a simple introduction to Python, specifically how to use it to work with data.
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