mikedoesdata - Network

Massive new feature launch today at work, very exciting and I’m very proud to have helped with the reporting/backend side of this.On the...

Massive new feature launch today at work, very exciting and I’m very proud to have helped with the reporting/backend side of this.

On the other hand, not looking forward to the 4 additional weeks of work that gets generated by individuals who have been in every single meeting with me for the last few months and have suddenly now decided it’s time for feedback, tweaks, and what essentially amounts to a deposition in regards to the entire product and system.

That’s showbiz in analytics, baby!

I no longer wish to “move fast and break things”.I do not want to function as the indirect QA/QC clean-up Zamboni for data products and...

I no longer wish to “move fast and break things”.

I do not want to function as the indirect QA/QC clean-up Zamboni for data products and pipelines.

I want to move with intention, collaboration, certainty. Building a culture of getting it right as opposed to ship now, fix later. That is what builds trust. It doesn’t have to be perfect, but it shouldn’t be duct-taped together for the sake of hitting a deadline.

The Menu was phenomenal…but man, some prior research would have done me good for some trigger warnings.

The Menu was phenomenal…but man, some prior research would have done me good for some trigger warnings.

I don’t think we are slowing down as a field. We are in a resurgence of infrastructural engineering and QA development.I think it’s...

I don’t think we are slowing down as a field. We are in a resurgence of infrastructural engineering and QA development.

I think it’s clear from the recent massive boom of data quality and observability tools, our industry is shifting priorities from “build predictive models fast and deploy them” to “let’s focus on the fundamentals, and get them right”.

There’s a multiplicative factor of impact for the latter.

I don’t think data science is “over” but I do think the collective “we” as an industry are struggling to adapt that the role...

I don’t think data science is “over” but I do think the collective “we” as an industry are struggling to adapt that the role simply looks incredibly different now even compared to 2019. This is not a new take, we are an ouroboros.

https://vickiboykis.com/2019/02/13/data-science-is-different-now/

https://www.getdbt.com/coalesce-2021/down-with-data-science/

Just ruminating this morning as I reflect on how we define “impact” in our contributions

I think this would be a fun interview question for a data science role, given Spotify Wrapped just came out. Requires a lot of extrapolation...

I think this would be a fun interview question for a data science role, given Spotify Wrapped just came out. Requires a lot of extrapolation and uncertainty.

You're in the top 0.1% listeners for Led Zeppelin at 5,000 minutes this year. How would you go about approximating how many minutes an average Led Zeppelin user listens in a year?

Non-data related post: The new pre-workout I’m using tastes like corroded batteries and is just an absolute task to get through, but god...

Non-data related post: The new pre-workout I’m using tastes like corroded batteries and is just an absolute task to get through, but god does it work well.

Is this thing on?

Is this thing on?