Artemis

Data fans! Less than 10% of spots remain for this Friday's Toronto meetup. Join Josh Gray, Toronto Modern Data Stack and 250 other tech nerds for a night of festivities and data ☃️

Artemis is hitting the road! Next Friday we are teaming up with Toronto Modern Data Stack to bring you an evening of data and seasonal cheer! The meetup will feature a talk by our very own Josh Gray and a lively panel discussion, if you’re local to Toronto we hope to see you there. 🔗 Registration is linked in the comments

With Peloton's new CEO, Peter C. Stern, who was the co-founder of Apple Fitness+, I wanted to bring up an acquisition that I have long believed should happen!

Have you registered for Data in Vancouver #5 yet? Next Tuesday we are partnering up with Amazon Web Services (AWS) to host three technical talks featuring: Oleg Agapov, (Analytics Engineer at Hive.co ), sharing his expertise on building efficient data platforms for small teams. Nick Bilozerov (Stripe Senior Data Engineer) , walking us through the journey of scaling ML workflows with Jupyter Notebooks Gustavo Fernandes (AWS Data Specialist) diving into modern data stack and architectures. Spots are limited so don’t miss out 👇 https://lnkd.in/emzsBdXP

Expedia has more than 70 petabytes of data. So when rumours started swirling around last week about Uber contemplating a bid to purchase Expedia Group, I was curious. Here my thoughts on why Uber is considering this acquisition!

This is why we do it!

Have you had a chance yet to check out Josh Gray and Tino Tereshko 🇺🇦's recent article? Dbt changed the game, but there’s a catch. Since its launch, dbt transformed the data world, empowering analysts to build production-grade pipelines with ease and dbt now drives about 20% of all cloud data warehouse compute. But with great power comes great responsibility. As models multiply, so do warehouse costs—often driving 50-80% of total spend. And let's face it most engineers focus on building, not optimizing. That’s where Artemis comes in. We provide visibility into your dbt environment, optimize transformations, and fix inefficiencies, automatically. https://lnkd.in/edxd-uZg

It’s spooky season 👻 s/o Knak for the inspo

Is dbt is a driver of over-consumption for you?

🏁 In the world of data, there’s no such thing as a finish line. As technology evolves and businesses grow, so does the complexity of managing and optimizing data. It’s not enough to have a one-time solution—continuous improvement is key. We should always be optimizing, refining, and looking for ways to be more efficient. At Artemis, we believe that data is a living asset, and we’re here to help you make sure it’s always running at its best. Because when your data flows smoothly, so does your business. https://lnkd.in/eW7NGHjn