Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable..
Sku: 260519004. Condition: Used: Very Good. Qty Available: 1.
Sku: 260519004. Condition: Used: Very Good. Qty Available: 1.
Product Category : Books. Pages : 611. About Jenson Online. A clean, cared for item that is unmarked and shows limited shelf wear. Condition : Very Good.
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable
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Welcome to Anaira Enterprises your own Wholesale Books Store: Product 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 About the Author: Martin is a researcher in distributed systems at the University of Cambridge. Previously he was a software engineer and entrepreneur at Internet companies including LinkedIn and Rapportive, where he worked on large-scale data infrastructure. In the process he learned a few things the hard way, and he hopes this book will save you from repeating the same mistakes.Martin is a regular conference speaker, blogger, and open source contributor. He believes that profound technical ideas should be accessible to everyone, and that deeper understanding will help us develop better software. SHIPPING:This transit time does not include the seller’s handling time. Transit time includes normal weekdays. Often Saturdays, Sundays, and major holidays are not included in transit time estimates. Business day does not include Sundays. Feedback Feedback & DSRs (Detailed Seller Ratings). We Strive for 100%Customer Satisfaction and we love to leave positive feedback’s for our buyers. Negative feedback is not a solution. So, we request you to contact us and give us a chance to resolve it asap. Thank You and Happy Shopping.
Designing Data-Intensive Applications by Martin Kleppmann is in great condition and ready for quick shipment to any USA location. We take great pride in consistently delivering reliably fast shipping and low prices on books and textbooks to students, professionals, and book lovers all across the globe. Choose priority shipping upon checkout for fastest shipping speeds. We ship fast, we are based in the USA for efficient delivery to nearly all homes and colleges across the USA, and we ship to nearly ALL INTERNATIONAL locations too!
You’ll be guided through the maze of decisions and trade-offs involved in building a modern data system, from choosing the right tools like Spark and Flink to understanding the intricacies of data laws like the GDPR.
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The product is a paperback book titled “Designing Data-Intensive Applications” by Martin Kleppmann, published in 2017. It falls under the categories of Textbooks, Textbooks, Education & Reference, and Books & Magazines. There are some yellow highlighting in the pages.
Author(s): Martin Kleppmann, Chris Riccomini. ISBN-13: 9781098119065, 978-1098119065. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved.