Common Information Models for an Open, Analytical, and Agile World

Foreword by Tim Vincent

Regardless of whether you are modeling new analytic algorithms to drive business decisions, creating new mobile applications, or building cloud-based systems of engagement, you will need to work with data, and in many cases this data comes from multiple places. The plethora of different types of data, the access mechanisms to the data, and the mixing of batch, real-time, and interactive models into a single paradigm are all leading to new challenges. How are the needs of multiple consumers reconciled with the structure of the original sources, and how do you reliably transform data between these desired structures? Traditional data modeling techniques are well known but are unfortunately seen as onerous and slow moving. ...