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 Karl Seguin - openmymind.net
MongoDB is a document-oriented database -- it should be viewed as an alternative to relational databases. This book covers a number of topics with a focus on the fundamentals you will need to get comfortably up and running.
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 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.
MySQL is a free, widely used SQL engine. It can be used as a fast database as well as a rock-solid DBMS using a modular engine architecture. The purpose of this wikibook is to provide a practical knowledge on using the database ...