Parsing the Crowded World of Data Analytics: Highlights
Our board member Bob Muglia recently met with Sanjeev Mohan in an interview for the It Depends podcast. Bob and Sanjeev discussed the challenges, trends, technologies and the general pulse of the ever-changing data analytics market. Here are some highlights from their discussion!
RelationalAI CLI and Public GitHub Repo
We are excited to announce the RelationalAI Command-Line Interface, which is used to interact with the Relational Knowledge Graph Management System (RKGMS).
Knowledge Graphs for Earthquake Data
Rel and the Relational Knowledge Graph System provide an excellent tool for investigating and analyzing seismic data. This project illustrates an example of working with data that is distributed geographically and temporally.
Trick-Or-Treating With Rel
Here at RelationalAI, we're passing out knowledge graphs to trick-or-treaters this year. Come and get spooked with us as we solve a Halloween logic puzzle in Rel, our relational modeling language. You'll see how to model a problem, store facts, and infer new knowledge from those facts. So grab your flashlight, put on your favorite costume, and let's go trick-or-treating with Rel!
Boolean and Missing: What Are They Good For?
RelationalAI is built on knowledge graphs, which rarely use null and boolean values. And yet, Rel, RelationAI’s declarative modeling language, has a Missing data type to represent null values, and a Bool type to represent true and false boolean values. Let's explore the role null and boolean values play in a dataset and learn when to use Missing and Bool types in Rel.
Recursive Computations in Rel
We are excited to announce the latest enhancements to our Relational Knowledge Graph System (RKGS) that substantially improve the performance of certain recursive computations.