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alright so in this example were going to look at doing a join two tables one adopts data frame which is quite large and a much another one to spend a Saturday this can be quite quite a bit smaller theres a common case problem thats fairly easy to computationally were just going to walk through how to do it with pandas then with data analytical machine then with a static frame across a cluster so I dont actually have a data set here so Id make a data set Ive got to have many different products thatll have ratings and values these products are going to be into a thousand different categories so many products have the unimaginative names of a a a a a a B and so on all the way down to Z Z Z Z and Im going to group those into categories and about a thousand different categories just completely randomly so product AAA is in category number 143 along with several other products I would have data so we have our products and theyre in categories theres gonna be a fairly sm