A few months ago, I read this interesting article from MIT Technology Review, explaing how COVID-19 pandemic are issuing challenges to IT teams worldwide regarding their machine learning (ML) systems.

Such article inspire me to think about how to deal with performance issues after a ML model was deployed.

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Hi everyone.

I have a cube with two dimensions, DimA and DimB, with the following structure:

DimA/H1/LevelA

DimA/H1/LevelC

DimB/H1/LevelB

DimB/H1/LevelC

LevelC is modeled in such way because its bound property (C) is group by properties A and B in transactional database, but A and B haven't relation.

I can use DeepSee REST API service /Info/FilterMembers/:datasource/:filterSpec specifying each dimension one filterSpec parameter and handle the results.

But, I would like to have the results for both dimension in only on service call.

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Hi.

I would like to know if DeepSee has some feature regarding synchronization which could help me with this:

I have two tables, TableA and TableB in a 1:n relationship, and one cube for each table, CubeA and CubeB.
CubeA have a list dimension based on records from TableB.
Both tables has DSTIME parameter set to "AUTO".

Some application proccess updates data only on TableB, leading an entry on ^OBJ.DSTIME global for synchronization of CubeB.
However, as the TableA wasn't updated, there isn't such entry for CubeA.

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Hi everyone! My company has a Zen ERP application with CSP delegated authentication. Now, we're developing a separated BI application, using Angular, which consumes DeepSee REST API services. Both applications access the same Caché database.

How to implement single sign-on strategy in order to allow an already authenticated ERP user to access DeepSee REST services? Has anyone already implemented something like that?

Thanks in advanced.

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