Data Wrangling Handbook
by Open Knowledge Foundation
Publisher: School of Data 2012
The Data Wrangling Handbook is a companion text to the School of Data. Its function is something like a traditional textbook -- it will provide the detail and background theory to support the School of Data courses and challenges.
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by Matthew North - Global Text Project
In this book, professor Matt North uses simple examples, clear explanations and free, powerful, easy-to-use software to teach you the basics of data mining; techniques that can help you answer some of your toughest business questions.
by Karl Seguin - openmymind.net
Redis represents a simplification in the way we deal with data. It peels away much of the complexity and abstraction available in other systems. The goal of this book is to build the foundation you'll need to master Redis.
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The key to designing a successful application is to understand which databases best meet the needs of the various parts of the system, and how to combine these databases into a single solution. This guide helps you understand these challenges...
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This book shows you how Spring's data access framework can help you connect to either non-relational or relational databases. You'll learn how Spring Data's model reduces the learning curve for applications with newer data access technologies.