[Haskell-cafe] Haskell used for data analysis - OLAP?

[Günther Schmidt]

Hi,

I've developed this commercial app in Haskell with all of the business  
logic coded in SQL with the help of haskelldb. Some of the intermediate  
results (of queries) I had to manifest in extra tables because the initial  
query was expensive, the intermediate result would be the "source" data of  
other queries and queries can't themselves be indexed for further  
efficient querying. Since the amount of data could become rather large,  
in-memory processing wasn't an option and I thus chose SQL (Sqlite).

The solution works, but still I'm not quite happy about it, since I  
consider the tables that hold intermediate results fixes.

I understand that the financial industry employs Haskell to analyse large  
data set under complex schemes. I wonder what techniques are employed for  
that, do they use Haskell to create some sort of OLAPish tools? Do they  
use Haskell to run complex queries against SQL data warehouses?

Günther