Understanding Big Data
by Chris Eaton, et al.
Publisher: McGraw-Hill 2012
Number of pages: 166
Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform.
This document is no more available for free.
by Julia Silge, David Robinson - O'Reilly Media
With this practical book, you'll explore text-mining techniques with tidytext, a package that authors developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext can make text analysis easy and effective.
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.
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.
- IBM Redbooks
The book provides lots of information for developers, including code samples for creating PHP applications with DB2, Informix Dynamic Server, and Cloudscape. We use the latest PHP data access extensions including: PHP Data Objects and ibm_db2.