Tag Archives: syllabus data science

AI on the Edge: What it is, and Data Storage Challenges it Poses

AI on the edge refers to doing the AI processing and equations at the site of the object collecting the data.

“AI on the edge” was a new term for me that I learned from Marc Staimer, founder of Dragon Slayer Consulting, who was interviewed in a podcast. Marc explained how AI on the edge poses a data storage problem, and my blog post proposes a solution!

Referring to Variables in Processing Data is Different in SAS Compared to R

When doing data processing, especially extract-transform-load (ETL) into a data warehouse, you might need to refer to the variables in your code, and it's done differently in SAS vs. R.

Referring to variables in processing is different conceptually when thinking about SAS compared to R. I explain the differences in my blog post.

Data for Meta-analysis Need to be Prepared a Certain Way – Here’s How

This is the forrest plot resulting from analysis with open source statistical software R using package rmeta.

Getting data for meta-analysis together can be challenging, so I walk you through the simple steps I take, starting with the scientific literature, and ending with a gorgeous and evidence-based Forrest plot!

Announcing the Publication of my New SAS Book on Data Warehousing

Textbook explaining how to use SAS to program and design a data warehouse

SAS is known for big data and data warehousing, but how do you actually design and build a SAS data warehouse or data lake? What datasets do you include? How do you transform them? How do you serve warehouse users? How do you manage your developers? This book has your answers!