DSXchange

Hello,

I have this case in DataStage PX / Unix, with anomalies in the power of the data warehouse in production, this implies a period long queue, so the results of incorrect information.

How to get to empty these anomalies in production and reduce the long queue?

Cordially

GAMEOVER7

I think that you would need to be much more specific in order to get assistance on this issue.

- By "power of the data warehouse" do you mean the speed that DataStage loads the data at?

- How does the speed affect the information written to the datawarehouse?

More power? (whatever that means)

GAMEOVER7 wrote:this implies a period long queue, so the results of incorrect information.

Can I assume that this means you are sourcing from an active system and over a 'long period' the data changes across the related set you are extracting and that is the source of your 'incorrect information'?

This is points of my problems in Datastage Px/unix

data feeding problem.

Development of flux for jobs in DataStage Px not-industrial.

Corrections developments that are over water, which generate other abnormalities in the execution process.

quarterly deliveries problem.

By which early analyzes begin to solve these problems?

This is points of my problems in Datastage Px/unix

data feeding problem.

Development of flux for jobs in DataStage Px not-industrial.

Corrections developments that are over water, which generate other abnormalities in the execution process.

quarterly deliveries problem.

By which early analyzes begin to solve these problems?

It appears that English is not your first language. I am struggling to understand what you are asking. Do you have a native English speaker who can help you to formulate your question more clearly?