Loading...
You are here:  Home  >  Articles by Thomas Frisendal
Latest

Artificial Intelligence vs. Human Intelligence: Hey Robo Data Modeler!

By   /  February 8, 2017  /  Big Data Blogs, Big Data News, Articles, & Education, Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education, Smart Data Blogs, Smart Data News, Articles, & Education  /  No Comments

In the data space plenty of new terms are being coined (by marketing?) for handling data modeling, governance and quality issues: “data preparation”, “data wrangling”, “data catalogue” and “machine-based data harmonization” (™ of ClearStory Data). Do we need stuff like this? Definitely so. Today we need to move fast, be agile and model as we […]

Read More →
Latest

Visual Normalization – Use the Power of the Dependencies

By   /  December 14, 2016  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education, Database Blogs, Database News, Articles, & Education  /  1 Comment

Click to learn more about author Thomas Frisendal. One of the major contributions of Dr. Ted Codd’s relational model is the focus on the importance of functional dependencies. In fact, normalization is driven by a modeler’s desire for a relation where strict functional dependency applies across all the binary relations between the designated primary key and […]

Read More →
Latest

Data Modeling: Why Not 3D?

By   /  October 19, 2016  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education, Data Science Blogs, Data Science News, Articles, & Education  /  2 Comments

Click here to learn more about author Thomas Frisendal. Data Models are meant to communicate structure of information to recipients, who need to understand it. But who are these recipients? In fact, they are human beings. Given that, we should choose our means of communication to be the most effective that we can find. Other […]

Read More →