There's a tendency for people to conflate OLAP with OLAP cube. We take a quick look at how this happens, why it shouldn't, and why it matters if you're a data practitioner.
A definitive history of the rise of the OLAP cube, how it's affected our industry, and what comes after.
In Holistics, you are now able to create data models on top of external data sources like MongoDB and Google Sheets. Here's a video tutorial on how to do exactly that.
Good data teams combine data from different sources in order to do their jobs well. Here's what we've learnt while putting this into practice at Holistics.
Data team careers are different from equivalent careers in software engineering, product management, or UI design. Here's how to evaluate prospective employers as part of your data career.
Google Analytics is an incredible tool to have in your toolbox. But it only offers aggregated data, which limits your ability to track visitor behavior. In this post, we discuss a simple, affordable alternative to GA that we've implemented at Holistics.
The resurgence of SQL-based data modeling is a something we should all be interested in. Here's why it's important.
“There is nothing so terrible as activity without insight.” Insight has become an essential need for every company in order to understand what the company is experiencing, why it happens, and what might come in handy in the future.
In the past, setting up an analytics department meant hiring data engineers first. But in a cloud-first world, you can and should hire data analysts first. Here's why.