meh it doesnt matter. Biden tries "government that delivers", it didnt' work. instead his VP lost to one that promised cruelty. I used to be a what's good for type person. Now im just slowly giving up, and adopting a "eff you, I got mine" attitude.

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.

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.

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.

Its always true. Whether you are a start up or an individual. People throw money at you when you least need it. But when you do need it, they give all types of hassle

we have databricks at my company 50m ARR, 150 employee. 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, every single event from eveery user in our mobile application, banking 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 producting.

My team of 3 data scientists are able to support a a culture of experimentation, data-informed decision making and support the entire org, and we are still growing 15% YoY.

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 struggle to imagine how else we can engineer a hub for all of our data and manage permissions appropriately at less tooling and engineering cost

Well those people vote. Home ownership rate is 65%. Home owners I believe are more likely to vote than renters. So yeah your proposition is not feasible

Correct. This the first article that I have read that has the right solution to declining fertility.

Miss often than not, I see it framed as an economic problem needing more economic solutions. This article hit the nail on the head. It is also a socio-cultural problem. And social cultural solutions work far better than purely economic solutions.

“As you pay more tax, you get less services”

This is a lie. In US, most food our rules, legal system, government agencies (that are not direct transfers like doc security & Medicare) exist to protect properties and interest of the rich.

That higher income people are not seeing much of direct transfers does not mean they are not getting more benefits from the government. Even our bloated military and foreign policy is primarily still protecting US business interests globally. It’s not minimum wage peon that benefits from that. It’s owners of large capital