Dear all, I hope this is the right place for this question.
I'm currently in the starting stages of developing a software that may 'explode' in terms of users and data. I'm considering a very basic tree-like data-structure and would like to know your thoughts regarding HBase/Hadoop. My reason is that I would like to be prepared from the get-go for large data. My structure is planned as such: - The data be nodes of a huge multidimensional tree. - I'm planning on having each row containing the full node path, e.g. "root.grandparentX.parentY.babyZ" (or ? "babyZ.parentY.grandparentX.root" ) - However in terms of data per node, it should be pretty much static. While this is a very simple structure, it does seem to be beneficial to use HBase / Hadoop just for the scalability alone. I also understood that if I get to billions of rows, only an HBase like approach can sustain me? My idea is to start with a simple standalone server and then expand the cluster as the load & data grow. If you may, I would like your thoughts, mostly regarding weather I'm using an Hammer to kill Ants, my proposed data-structure or any other advice you may have. Kind regards, José -- José Feiteirinha www.feiteira.org
