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.
Used – Very Good
“Designing Data-Intensive Applications: The Big Ideas Behind Reliable PB” by Martin Kleppmann is a textbook published by O’Reilly Media in 2017. It focuses on data modeling and design, as well as desktop applications and databases. The book is a trade paperback with dimensions of 9.2 inches in length, 6.9 inches in width, and 1.5 inches in height. It weighs 36.3 ounces and is written in English. The author presents big ideas and concepts related to designing reliable and data-intensive applications, making it a valuable resource for those interested in the subject area of computers and data management.
Condition Notes: A heavily used but readable copy. All text pages are present and legible. May be an older version with a different cover than what is shown in photos.
Thanks for viewing our Ebay listing! If you are not satisfied with your order, just contact us and we will address any issue. If you have any specific question about any of our items prior to ordering feel free to ask.
NO prison orders. Condition: Used: Good. Qty Available: 1.
It contains 614 pages of information written in English. The book covers topics such as data modeling, partitioning, replication, and distributed systems.
Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. What are the right choices for your application?. How do you make sense of all these buzzwords?.
Ideal for students and professionals preparing for system design interviews and seeking to deepen understanding of data engineering concepts.