Data Modeling category: 403 books

This book is for developers and data architects who have some exposure to databases. It is assumed that you understand the basic concepts of tables and common database objects, including privileges and security.

Today’s highly interactive websites pose a challenge for traditional SQL databases—the ability to scale rapidly and serve loads of concurrent users. With this concise guide, you’ll learn how to build web applications on top of Couchbase Server 2.0, a NoSQL database that can handle websites and...

**A New York Times Bestseller An audacious, irreverent investigation of human behavior—and a first look at a revolution in the making**   Our personal data has been used to spy on us, hire and fire us, and sell us stuff we don’t need. In Dataclysm, Christian Rudder uses it to show us who...

This book gives technical people an idea of how to design functional financial systems within computer database systems.  The material is based on the author's 20 years of applying it in industry, on his doctoral studies of computer science, and on his lecture notes for business and computer courses...

This mini book offers information about QlikView scripting written in an easy-to-understand manner, and covers QlikView scripting from basic to advanced features in a compact format.If you are a basic orintermediate developer with some knowledge of QlikView applications and a basic understanding of QlikView...

The ability to conceptualize an economic problem verbally, to formulate it as a mathematical model, and then represent the mathematics in software so that the model can be solved on a computer is a crucial skill for economists. Computational Economics contains well-known models--and some brand-new...

SQL is full of difficulties and traps for the unwary. You can avoid them if you understand relational theory, but only if you know how to put that theory into practice. In this book, Chris Date explains relational theory in depth, and demonstrates through numerous examples and exercises how you can...

Build Machine Learning models with a sound statistical understanding.About This BookLearn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics.Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering.Master...

This book is a fast-paced guide full of step-by-step instructions on how to build a multi-node Hadoop cluster on Windows servers. If you are a data architect or developer who wants to understand how to transform your data using open source software, such as MapReduce, Hive, Pig and JavaScript, and also...

Everything we need to know about metadata, the usually invisible infrastructure for information with which we interact every day. When “metadata” became breaking news, appearing in stories about surveillance by the National Security Agency, many members of the public encountered this once-obscure...

R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics,...

SQL in a Nutshell applies the eminently useful "Nutshell" format to Structured Query Language (SQL), the elegant--but complex--descriptive language that is used to create and manipulate large stores of data. For SQL programmers, analysts, and database administrators, the new second edition...

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information...

Build, implement and scale distributed deep learning models for large-scale datasets About This Book Get to grips with the deep learning concepts and set up Hadoop to put them to use Implement and parallelize deep learning models on Hadoop's YARN framework A comprehensive tutorial to distributed...