chadthenderson

This reads like it was written by someone on a coke binge.

In 2010 I just kept forgetting to fill out the census. My census guy left notes on my apartment door begging me to call him. Finally, one day, he literally popped out of the fucking bushes with the census form.

I'm so glad to hear that someone else is dealing with this and that I'm not crazy. Also, the new magic keyboard isn't much better.

I think, for me, it's that both have home keys that you can barely feel, so you never know where you are on the keyboard.

You might need to simplify some more.

So, I thought genetic mutations were random. If that's the case, why does the amount of antibiotics prescribed matter? Won't these mutated bacteria excel regardless?

Great. Thank you for the clarification. What you just described definitely sounds like something PipelineDB would be great for. I can see it being especially useful for quickly standing up dashboards and maybe even datamarts when considering new data sources. I just wanted to make sure that I wasn't missing something.

This looks very cool. Although, I'm not sure I totally understand how it can be used to replace batch ETL processes. So, PipelineDB eliminates ETL batch processing by incrementally inserting data into continuous views, but the documentation says that it's not meant for ad-hoc data warehouses as the raw data is discarded. So, does that leave me still using batch processes to load my data warehouse? Is PipelineDB going to be my data warehouse as long as I only want the resulting streamed data? Just trying to figure out what this would look like and where its place is in a data warehouse environment.