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 Jacek Laskowski - GitBook
This collections of notes (what some may rashly call a 'book') serves as the ultimate place of mine to collect all the nuts and bolts of using Apache Spark. The notes aim to help me designing and developing better products with Apache Spark.
This ebook provides a step by step path to proficiency with MySQL. Beginning with the relational database basics and the installation of MySQL, the book covers everything needed to successfully build, maintain and secure MySQL based databases.
by Open Knowledge Foundation - School of Data
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.
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.