With COVID-19 now spread across the globe and the entire world hunkering down for the long fight, people have started to wonder what the future will look like. With a vaccine projected not to come until next year at the earliest, many … Read More
Without a doubt the entire world has been affected in some way or another by COVID-19. This event has ignited an intense amount of research resulting in data analysis, visualizations, models, and dashboards being created on a daily basis in order to … Read More
We recently celebrated the 30th anniversary of the founding of CCRi, and to celebrate that occasion and give back to our local community, we sponsored an internal hackathon for our staff one recent afternoon. The hackathon is one of the elements of our … Read More
Problem Rather than simply flying straight from point A to point B, commercial airline flights fly along preset routes. Pilots often liken these routes to “highways in the sky.” However, unlike highways on the ground, exact maps of these routes … Read More
TransE, or Translating Embeddings for Modeling Multi-relational Data, lets us embed the contents of a knowledge graph by assigning vectors to nodes and edge types (a.k.a. predicates) and, for each subject-predicate-object triple, minimizing the distance between the object vector and … Read More
Here at CCRi, we’re working on such an interesting set of technologies that we could probably find a conference to speak at every week if we wanted to. Two especially nice conferences that recently included CCRi speakers were the Google … Read More
Release 1.3 of GeoMesa has taken some great steps in making GeoMesa an even better analytics platform for Big Spatial Data. Many improvements fall into two categories: support for a wider range of Spark features and improved support for interactive … Read More
It’s a cliché that a picture is worth a thousand words, but what if you want to create a picture of two thousand nodes connected to each other with several fields of information attached to each node? Trying to … Read More
When starting a new data science project, one should typically first understand the problem domain, state a hypothesis, and then gather data to prove or disprove said hypothesis. But, if I’m being honest, I usually start with a new data … Read More
Earlier this summer, the CCRi blog entry GeoMesa analytics in a Jupyter notebook introduced the use of Jupyter notebooks with Scala and GeoMesa to do Apache Spark analytics and geospatial visualization. As the blog entry said, it only scratched the … Read More