I’ve been working on a project with a client for several months where we are reporting against a sizable data source. Initially that data source took about 1-3 hours to extract locally which was okay. The faster the better, but I could live with it.
All tagged Data
I’ve been working on a project with a client for several months where we are reporting against a sizable data source. Initially that data source took about 1-3 hours to extract locally which was okay. The faster the better, but I could live with it.
I was recently faced with a challenge when working for a client. We needed a simple way to provide row-level permissions to hundreds of Tableau Server users for 4 million+ rows of data. The data took place over 300+ sites. Some sites might only have a handful of users that needed access to view while others might have 40.
One of the exercises I’ve been facilitating in my Tableau classes lately is asking students, “What is something of personal interest you’d like to visualize?”. That open-ended question leads to interesting ideas around entertainment, sports and finances to name a few common themes.
I recently finished a book called, Astroball written by Ben Reiter. It tells the unlikely story of how the Astros went from the worst team in baseball to winning a World Series a few seasons later. As much as I wish I could say I didn’t like the book (I’m a Mariners fan after all) it was a compelling read and gave me great insight into their organization and methodology.
You might never have heard of a self join but you might need one. Occasionally, tables in a database are structured so that it makes sense to join a copy of a table to itself…
I frequently hear the question, “Can Tableau show my missing data?”. Generally when I get this question, people want to either see a 0 or a blank where there should be missing data.
When creating averages on a measure in Tableau, null values aren’t factored into that average...
If you’re like most people in the world of analytics, you probably didn’t get a formal education on the topic. Sure, we all know a few data scientists, but most of us came from other backgrounds. When semi-familiar terms are tossed around, it’s easy to nod your head along with the crowd while in the back of your mind wondering, “does that mean what I think it means?”.