teetertater

Joined 7 years ago

Karma
211
Submissions
135
Member since
Nov 1
yury (at) yury [dot] tech
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Recent submissions

Comment · 6 months ago
Wow, thanks. Crazy
Comment · 6 months ago
Sounds interesting, source?
Comment · 8 months ago
Comment · 1 year ago
Comment · 1 year ago
Comment · 1 year ago
Yes, spark is too complicated for most cases;

But if you're inclined to use it, databricks' setup of spark just saves you an incredible amount of time that you'd normally waste on configuration and wiring infrastructure (storage, compute, pipelines, unified access, VPNs etc). It's expensive and opinionated, but the data engineers you need to deal with spark OOM errors constantly is greater. Also databricks' default configs give you MUCH better performance out of the box than anything DIY and you don't have to fiddle with partitions and super niche config options to get even medium workloads stable

Comment · 1 year ago
These are truly the best! And I've done a lot of research. Nowadays there are some smaller luxury brands that are closer with feature parity but not quite. The original Fossil team spun off to develop some kind of general watch platform, so I'm hopeful we'll see a remake by the time my fossil kicks out.
Comment · 2 years ago
Hi, I've looked into it, I received a lot of mail today -- could it be the spelling?

Sent you an email.

Comment · 2 years ago
Balun Energy // Vienna, Austria On-Site // Senior Data Engineer and Senior MLOps Engineer // Full-Time 65-80k Euro + equity We develop forecasting algorithms for wind and solar power production. Looking for passionate, driven, versatile people. Make a tangible impact towards sustainable energy.

* Small, ambitious, technical team (6 ppl)

* Shape the future of our startup: own, architect, and implement

* Help us solve tough problems in data. E.g. how to reconcile many data sources and create an efficient MLOps architecture?

Must be in or willing to relocate to Vienna, Austria. Visa Sponsorships available

Tech Stack: Python, Spark, Databricks, PyTorch, AWS, Time Series Forecasting, Meteorology. (you can add things you like to this list)

Send an email to (name in HN profile)@balun.energy to apply.

Comment · 2 years ago
When I first moved to vienna, I also decided to check out Cafe Central. I ordered a tea (cost 5€). A teapot arrived, with a teabag on the side that I was supposed to brew myself. But the water was lukewarm, not nearly hot enough for tea. I complained to the waiter (dressed in something like a tuxedo). He dipped his finger in my teapot!! Then begrudgingly brought me new water lol.
Comment · 2 years ago
Balun Energy // Vienna, Austria On-Site // Senior Data Engineer and Senior MLOps Engineer // Full-Time 65-85k Euro + equity

We develop forecasting algorithms for wind and solar power production. Looking for passionate, driven, versatile people. Make a tangible impact towards sustainable energy.

* Small, ambitious, technical team (6 ppl)

* Shape the future of our startup: own, architect, and implement

* Help us solve tough problems in data. E.g. how to reconcile many data sources and create an efficient MLOps architecture?

Must be authorized to work in EU and willing to relocate to Austria. Visa Sponsorships available

Tech Stack: Python, Spark, Databricks, PyTorch, AWS, Time Series Forecasting, Meteorology. (you can add things you like to this list)

Send an email to (name in HN profile)@balun.energy to apply.

Comment · 2 years ago
You're probably joking but I'm sure this would make a killing
Comment · 2 years ago
A substantial contributor to that heat is asphalt and concrete though (absorbs heat and releases it at night). And to make it worse there's no tree cover. Winter is also more manageable if you don't have to wait 20 mins for a bus in an uncleared snowbank just because non-car mobility is second-class
Comment · 2 years ago
Curious if people use streamlit for big data production visualizations?

We're considering it but not sure how it scales when gigabytes of data are involved

Comment · 2 years ago
The archive link includes the paywall lol

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