MongoDB and OLAP

Asked bysundog

It is required to perform OLAP data processing, build reports, apply various data mining methods (build decision trees, perform clustering, etc.) according to the available information about the company's customers. I read about mongodb - it lures me with its simplicity, the ability to map / reduce (I think this will greatly facilitate the construction of all kinds of reports), scalability, but since I never had anything to do with it, I ask for advice, is it worth it for the required tasks?


At the moment, I have not found such tools for it (although I, too, would not have prevented). If OLAP is important to you - you do not need mongo. Olap is by definition for structured data (description of measurements, for example), while the main plus of Mongi is its “dynamism”. Scaling, map-reduce is perfectly implemented with traditional SQL solutions.
betty hafner
for example: mdx on mongodb
those. you can use Pentho - but you should pay attention that in fact it is the ability to build analytically MDX queries to the Mongo repository. Performance is already a research question.
There is still exotic bime and other
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