As stated in the last article, database obesity due to numerous intermediate tables and stored procedures is rooted in the closed computational system. If there is an ind...
The following articles were recently hand-picked, and curated by one of our interns, Amelia. They quickly became popular, and cover dozens of topics of interest to data s...
There are numerous aspects of data science that determine a project’s success; from posing the right questions through to identifying and preparing relevant data, apply...
The Pragmatic Programmers just published my book Complex Network Analysis in Python. Recognize → Construct → Visualize → Analyze → Interpret. The book covers...
At times it might be desirable to determine what storylines on a narrative database contain certain key elements. In the example below, the object “Alien Allan” is ...
Open Source offered fertile ground for digital transformation. Though Open Source revolutionized software, it now has an impact in larger business fields. But this phenom...
The ability to accurately predict what is likely to happen at a point in the future, and build plans and strategies based on that knowledge, is essential to an organizati...
In this multi-part series, we will explore how to get started with tensorflow. This tensorflow tutorial will lay a solid foundation to this popular tool that everyone see...
DML stands for “Dynamical Machine Learning” (more in the book, “SYSTEMS Analytics for IoT Data Science”, 2017). This match is not surprising once you realize that...
This article was written by Uli Bethke. The full title is “Dimensional Modeling and Kimball Data Marts in the Age of Big Data and Hadoop”. Is dimensional mo...