Wow, that's a pretty big question.
IMO, it depends upon what you're doing with your data. Personally, I'm
storing up to 4 different "versions" of the same data in Riak, each version
is optimized for different types of analytical operations.
That's probably not ideal for everybody. Heck, storing
I ran into this same issue when I was confused by my own initial
benchmarking results. For my purposes, I actually shut down the riak
nodes, delete the data directories, then restart Riak between tests.
I think using a different backend is a good idea that I hadn't considered,
unless using the di
Hi all -
This is my first post to the list. I'm a relative Riak newbie, though I
have some experience working with multi-terabyte datasets on other
platforms. Last night, I kicked off my first "large" load of data as a
test of the platform with about 1,000,000 json objects being loaded into a
bu
