tonywe64

This definitely is missing property tax and insurance, as well as a bucket for maintenance cost, ex, property management (8-10% monthly estimate), vacancy (5-10% monthly estimate), and repairs (5-10% monthly estimate). These are all coming out of the bottom line. Especially if the assumption is that the property will be held for 30 years. For a lot of states, Texas for example, the property tax inflates with property prices, assessed every 2 years, so you can build in some calculation assumption with that.

Cash on cash yield from rent may not be great for the most part. But with leverage and tax savings, that is where real money is made in the long run in the rental game.

Try out this Chrome extension that works as a LinkedIn recruiting assistant, it provides salary range estimates based on company, job title, and region. As well as the likelihood of changing job along with many other data points.

https://candidate.ai

I don't think it makes sense to compare Redshift to HANA. There is no way that HANA could scale the way ParAccel/Vertica scales within the same price range.

Besides all the marketing buzz SAP has been throwing it out there, how many companies actually use it with a decent amount of data (at least 10TB+ range)?

You should try Vertica, they have 3 nodes community edition.