u/rg_cyborg77

Deboo was the clown who went to an anti-immigration rally a year ago, seemingly hoping for some white validation, only to get pushed around by the very people he was trying to impress. 🤡

I randomly think about this guy once in a while and laugh at the sheer ass-licking mentality. Then recently, this interview showed up on my feed where he tries to rationalise his position. The funny part is that even after all this time, he still can't articulate a clear or consistent rationale for what he believes.

Honestly, there is something deeply hypocritical about benefiting from immigration yourself and then deciding that the immigrants who come after you are somehow less deserving.

"I came here legitimately. I integrated. I contribute. But these new immigrants are the problem."

If you're an immigrant whose argument basically boils down to "I'm one of the good ones, unlike the people coming after me," just own what it is. It's elitism and prejudice dressed up as principle.

We have an on-prem SQL Server with about 500 GB of data.

The goal is to move the data to the cloud with proper data governance. We decided to go with Azure since we are already in the Microsoft ecosystem.

My current plan is to use a medallion architecture:

Raw parquet Bronze → Silver → Gold

Main use cases are dashboards and ML pipelines.

A few thoughts/questions:

1. We were considering Microsoft Fabric, but I have heard it is stronger for Power BI use cases and may not be as mature for ML pipelines.

2. Databricks seems more mature for engineering and ML, but I am wondering if it is too expensive or overkill for 500 GB of data.

Our planned budget is around 1,000 to 1,500 USD per month.

Would Databricks or Fabric be overkill at this scale? Or is Databricks still worth it if we care about governance, ML pipelines, and long-term scalability?

Experts, would love to hear your thoughts.

We have an on-prem SQL Server with about 500 GB of data.

The goal is to move the data to the cloud with proper data governance. We decided to go with Azure since we are already in the Microsoft ecosystem.

My current plan is to use a medallion architecture:

Raw parquet

Bronze → Silver → Gold

Main use cases are dashboards and ML pipelines.

A few thoughts/questions:

1. We were considering Microsoft Fabric, but I have heard it is stronger for Power BI use cases and may not be as mature for ML pipelines.

2. Databricks seems more mature for engineering and ML, but I am wondering if it is too expensive or overkill for 500 GB of data.

Our planned budget is around 1,000 to 1,500 USD per month.

Would Databricks or Fabric be overkill at this scale? Or is Databricks still worth it if we care about governance, ML pipelines, and long-term scalability? What would be the expected cost?

Experts, would love to hear your thoughts.