The one-stop shop for all your data hiring needs. Today we launched the ultimate guide to hiring your data team - a labor of love, research, and collaboration to bring together the best insights and wisdom around hiring a great data team. See the guide here. What makes hiring difficult?
With exploding cells, your most complex SQL query or model just got a whole lot simpler. TL;DR: The status-quo Whether you're a data engineer trying to understand a complex data model, or an analyst trying to make sense of a heavily-nested SQL query, your approach probably involves the same
Get your data to the right people at the right time. When speaking to a Head of Data a few years ago, she used a phrase I've been in love with ever since: dashboard detritus. She was referring to the festering heap of unused and unloved dashboards, reports, and ad-hoc
In February I (attempted) to predict the data trends of 2022 [https://blog.count.co/how-data-analytics-will-change-in-2022/]. Now that 2022 is rapidly coming to a close, it's time to see just how well those predictions fared. My Predictions Graded Going for a very American A-F grading scale in which A is
Long before I got into data, I had another love. One I've never been able to let go of. Like data, it satisfied my need to have things ordered and was focused on using that organization to uncover patterns and influence change. This was the field of Systems Engineering [https:
When people describe Count, they typically do so in terms of familiar functionality: While those descriptions are helpful (and entertaining) they are less effective in articulating what you actually do with this feature mash-up, and how it works in combination with other tools in your data stack. Count and the