The Looker Ruby Sample Code by Looker demonstrates how to access the API to integrate data intelligence into business applications. Examples available include add users, create credentials email, generate passwords, refresh user notification addresses, and stream downloads.
One of the more intriguing aspects of RESTful APIs is that they make all kinds of computing platforms more accessible to developers than previously thought possible. Case in point is the machine learning platform (based on a math engine) that is being developed by Wise.io.
Today Apsalar announced the release of two new components of its ApScience analytics suite for mobile applications: engagement index & revenue analytics. These new metrics will allow Apsalar clients to gain greater insight into how users are interacting with their application. It will also make it possible for users to be segmented based on the amount they spend in the app. You might be as surprised as I was to learn that this is a competitive space characterized by big data and advertising revenues. Apsalar hits all the bases with SDKs for Android, iOS, and a RESTful API.