Thank you Stefan. 1. When you tell (MonetDB does not come with a ready-to-use solution.), this is that MonetDB not come ready to use as hadoop? 2. One simple server as 32 GB of ram and 16 processors is very small for 300 millions of records in my fact table? i WIll have over 30-50 concurrent users. The data will loaded all nights. Do you have any hard disk type recommended? 2013/12/2 Stefan Manegold

300 M rows, each 1 byte wide, i.e., 300 MB of data, easily fit in the main memory of my mobile phone.

300 M rows, each 1 kB wide, i.e., 300 GB of data, easily fit in the main memory of a 500 GB RAM server.

300 M rows, each 1 MB wide, i.e., 300 TB of data, require at least 75 4TB hard disk to store it in the first place.

Depending on workload, data characteristics, I/O subsystem, CPU power, network infrastructure, performance requirements, etc. also a much smaller machine might be sufficient, a much larger machine might be required, or a distributed solution might be useful.

Having said that, I'm convinced that integrating MonetDB & hadoop is possible, given the required software engineering skills. Whether / when that's useful / "needed" is a different question that cannot be answered in general. MonetDB does not come with a ready-to-use solution.

Stefan

Edgar Mejia wrote:

...

if for example i have 300 millions of rows, i need to use something as hadoop? is posible integrate monetdb as hadoop?

if i use only monetdb, and i have 300 millions of rows, how much memory and processor is recommended as minimum?

Thanks,

EM

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