After a few too many special "lunch meeting" where the company announces,"everyone in this room still has a job, everyone else..." sort of speeches.

I'd try a local bank that specializes in investor loans.

Now I want to start investing without my family and using private money, I have been taking some webinars about raising capital and I'm kinda lost preparing deals, analysing properties and finding private lenders.

The "Special Invitation" I was mailed offers a free MP3 player, a chance to win an iPAD, and FEE gifts from his sponsors.

Well that lasted about three months but what I did gain from that is that I was viewing properties that we're being flipped in preparing my bpo'sI soon went to a seminar by Armondo and would not pay the $40,000 for his seminar in Vegas, but I did learn a bit more about this great business.

@Shawn BeersWelcome don't forget to complete your profile.You might consider Niche or Specialized Housing like student housing or vacation rentals.

If you have a tenant with good credit ready to build, and you have the ability and connections to hold the paper or sell it (among other things), then that's a special case.To answer your question about when it makes sense to build new with regard to multifamily, I would begin by asking myself the following question: Is anyone else building anything like this right now in this neighborhood that is proving my pro forma.

So be prepared to paint and clean or replace carpet when they move out.If you go into it with the right expectations, I think you will be fine!

But, those areas get this more often and are obviously better prepared.

The time expended to prepare the data from receipts, accounting records or other would be the same whether the data was to be used in a relational model or a big data model because I imagine that much of this data is not in digital form already.Big Data would come into play if you had a massive volume of data that you might want to analyze from various sources that would be too large for a relational model and or the rate of change/growth for such data was very high such that a relational model could not keep up (not going to mention Data Warehousing as that is not going to be cost effective for you).