The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling – GOOD Product Id:0471200247 Condition:USED_GOOD Notes:Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc…
Notes: Item in very good condition!
“Designing Data-Intensive Applications: The Big Ideas Behind Reliable PB” is a textbook written by Martin Kleppmann and published by O’Reilly Media, Incorporated in 2017. The book covers subjects such as data modeling and design, as well as desktop applications and databases. It is a trade paperback format, written in English, and has dimensions of 9.2 inches in length, 6.9 inches in width, and 1.5 inches in height, with a weight of 36.3 ounces. This book is a valuable resource for those interested in designing and building reliable data-intensive applications.
The product is the second edition of “R for Data Science” by Hadley Wickham, Mine Cetinkaya-Rundel, and Garrett Grolemund. Published by O’Reilly Media, this textbook focuses on data modeling, design, visualization, processing, and mining. With a publication year of 2023, this trade paperback book offers 576 pages of content in English. It aims to guide readers through the process of importing, tidying, transforming, visualizing, and modeling data using R programming language. The book is a comprehensive resource for individuals looking to enhance their skills in data science and analysis.
It contains 614 pages of information written in English. The book covers topics such as data modeling, partitioning, replication, and distributed systems.
“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems” by Martin Kleppmann is a comprehensive textbook published by O’Reilly Media in 2017. The book covers topics in data modeling and design, focusing on how to build reliable and scalable desktop applications with databases. With 614 pages, this trade paperback is a valuable resource for anyone looking to learn about designing data-intensive applications in a practical and informative manner.
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.
Notes: Item in very good condition!