MongoDB and OLAP


Warning: count(): Parameter must be an array or an object that implements Countable in /home/styllloz/public_html/qa-theme/donut-theme/qa-donut-layer.php on line 274
0 like 0 dislike
7 views
Required according to available information about the company's customers to perform OLAP processing of data to build reports, use different methods of data mining (to build decision trees, carry out clustering, etc.). I read about mongodb attracts by its simplicity, ability to map/reduce (I think it is easier to build all sorts of reports), scalability, but since she's never had, ask for advice, is it worth it to use for your tasks?
by | 7 views

2 Answers

0 like 0 dislike
At the moment, these tools I found (although I also would not have prevented). If you are important OLAP Mongo you do not need. And Silverlight, by definition, structured data (description of measurements, for example), whereas the main advantage of Mongo is its "dynamism". Scale, map-reduce is implemented perfectly and with traditional SQL solutions.
by
0 like 0 dislike
for example: mdx on mongodb
i.e. you can use Pentho - but it is worth paying attention that in fact it is possible to build analytical queries in MDX to the store to Mongo. Performance is a question of research.
there are more exotic bime and others
by

Related questions

0 like 0 dislike
2 answers
0 like 0 dislike
4 answers
asked Mar 28, 2019 by Razbezhkin
0 like 0 dislike
1 answer
0 like 0 dislike
4 answers
110,608 questions
257,186 answers
0 comments
27,923 users