naijaboiler's comments

naijaboiler | 6 months ago | on: Why Romania excels in international Olympiads

I disagree that there are cognitive differences between large ethnicities of people. Almost always, what we attribute as cognitive differences is differences in opportunity and societal power structures

naijaboiler | 6 months ago | on: Paracetamol disrupts early embryogenesis by cell cycle inhibition

This is a dangerous advice. Please folks. disregard this OPs comment. I doubt he is a doctor.

Ibuprofen is not better in every way. Ibuprofen is active in so many different parts of the body at the same time that inevitably it has unintended effects which is more pronounced especially in the elderly. It's bad for stomach, bad for kidneys, bad for mental status. and very bad with long-term use.

TLDR. Both aren't great for different reasons. Tylenol can be acutely OD'd and evidence is starting to show it isn't great embryos. Outside of those 2 situations that can be easily avoided, it is overall less bad than ibuprofen.

naijaboiler | 6 months ago | on: Databricks is raising a Series K Investment at >$100B valuation

no we don't. Our plan includes some support, but we honestly haven't needed it. We are also aggressive about sizing compute resources to the task, and foregoing some of the more costly "easier serverless options" that databricks provides. Their serverless SQL though is excellent value for money.

naijaboiler | 6 months ago | on: Databricks is raising a Series K Investment at >$100B valuation

we have databricks at my company 50m ARR, 150 employee thats still growing at 15% YoY. With 0 full time Data Engineer (1 data scientist + 1 db admin both co-manage everything on there as part-time jobs. They have their full-time role). We are able to have data from like 100 transactional database tables, Zendesk, all our logs of every API call, every single event from every user in our mobile and web applications, banking data, calendar data, goole play store data, apple store data, all in 1 place. We are a 2-sided marketplace, we can easily get 360 degree view of our B2B customers, B2C customers, measure employee productivity across all departments. It's that deep data understanding of our customers that powers our growth

My team of 3 data scientists are able to support a culture of experimentation, data-informed decision making accross the entire org.

And we do all that 30k annual spend on databricks. That's less than 1/5 the cost of 1 software engineer. Excellent value for money if you ask me.

I really struggle to imagine being able to that any cheaper. How else we can engineer a data hub for all of our data and manage appropriate access & permissions, run complex calculations in seconds (yes we have replaced overnight complex calculation done by engineering teams), join data from so many disparate sources, at a total cost (tool + labor) <80k/yr. I double dare you to suggest or find me a cheaper option for our use case.

naijaboiler | 6 months ago | on: Databricks is raising a Series K Investment at >$100B valuation

we have databricks at my company 50m ARR, 150 employee thats still growing at 15% YoY.. With 0 full time Data Engineer (1 data scientist + 1 db admin manages everything on there as part time jobs). We are able to have data from like 100 transactional database tables, Zendesk, all our logs of every API call, every single event from every user in our mobile and web applications, banking data, calendar data, goole play store data, apple store data, all in 1 place. We are a 2-sided marketplace, we can easily get 360 degree data on our B2B customers, B2C customers, measure employee productivity across all departments.

My team of 3 data scientists are able to support a culture of experimentation, data-informed decision making accross the entire org.

And we do all that 30k annual spend on databricks. That's less than 1/5 the cost of 1 software engineer. Excellent value for money if you ask me.

I really struggle to imagine being able to that any cheaper. How else we can engineer a hub for all of our data and manage appropriate access, run complex calculations in seconds, join data from so many disparate sources, at a total cost (tool + labor) <80k/yr. I double dare you to suggest or find me a cheaper option for our use case.

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