Principles and practice of big data: preparing, sharing, and analyzing complex information (Second edition.)

This edition updates and expands on the previous edition, bringing a set of techniques and algorithms that are tailored to big data projects.

The author stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialised suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers).

The core of every algorithm described can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided).