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Astronomer Blog

Culture / Data Science / Dev / Growth

How To Scale Your Growth Process in 8 Weeks


Estimated reading time: 4 minutes and 23 seconds

I had an epiphany during my morning commute last week (don’t you love it when that happens?): Our growth team should be a beacon, an intentionally inconspicuous device designed to attract attention to a specific location.

Aspirational, right? As usual, the hard part is setting out to actually do it. Only two short weeks ago, I joined Astronomer to scale our growth team. For newcomers to Astronomer, like me, it’s important to understand why what we’re tackling is so important, and therefore, why my mission feels personal.  

We’ve heard about big data ad nauseum—and we get it, data is everywhere and we need it to make better-directed decisions for our business (and life for that matter!). At the same time, there’s a ton of people like me: non-technical quant analysis folks who need a data infrastructure that’s scalable yet flexible and, most importantly, accessible. I am the future of your workforce. I—and so many like me—need Astronomer to grow.

Topics: growth

Data Wrangling 101: Using Python to Fetch, Manipulate & Visualize NBA Data

 

Last week, Viraj's article by this name was featured on the Yhat blog... Yhat makes data science [app]plicable for developers by allowing data scientists to programmatically employ R and Python models into production applications via REST API endpoints. The Yhat blog focuses on data science, machine learning and engineering. Check out the intro, which links to the full post on Yhat!

Topics: data science

To Tackle Big Data, We Got Together with Astronomer

 

Estimated reading time: 8 minutes and 58 seconds

*Quick editor's note: Mike Asem is a director at M25, one of Astronomer's investors. This post and all accompanying images were originally published by M25 on 04.04.17 and by Tech.Co on 04.05.17.

Data science is here, and it’s growing fast. No one’s questioning that. Which is core to our thesis behind one of our most recent investments, Astronomer. But it wasn’t too long ago that explaining the value of data science to folks wasn’t that easy.