Data Mining for the Masses
by Matthew North
Publisher: Global Text Project 2012
Number of pages: 264
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.
Download or read it online for free here:
by Mark Pollack, et al. - O'Reilly Media
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.
by J. C. Anderson, J. Lehnardt, N. Slater - O'Reilly Media
CouchDB's creators show you how to use this document-oriented database as a standalone application framework or with high-volume, distributed applications. CouchDB is ideal for web applications that handle huge amounts of loosely structured data.
by Alan F Gates - O'Reilly Media
Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs. The structure of Pig programs is amenable to parallelization, which enables them to handle very large data sets.
by Allen Wyatt
Access for beginners: getting started, creating database, sorting and filtering, queries, printing, simple reports, custom forms, Web features, data relationships, importing and exporting, data security, OLE, macros, dialog boxes and menus, and more.