Creating semi real test data is hard
I have a talk coming up at AzureAustin (tomorrow actually). It is about Azure’s new Document DB and Search services. Both of these are data intensive. Using crap data in those environments won’t quite give the full impact that might be needed for such a presentation. Thanks to Jeep – I love JEEPS – I now have a fun set of data by simply spidering through some data on their end and making the generator just a touch smarter.
Obviously this problem is not solved by just displaying fancy but subtly different images. The data that goes around the image needs to match too. In this case I have an image naming scheme that takes other parts of the data from which the image name is constructed. This way the data in the package matches the image it generates too.