Sixty to ninety days from now, I'll have a solution for you ::sigh:: I have the UniVerse side in my Tier I product (Zeus) but the SQL won't be until Tier II (in development) and I may or may not have the jBASE bits by then.
You may want to look at writing a straight SQL read/write solution with UniVerse handling everything through phantoms. As to DataStage - we have a Stager or two on the list with us - I'm sure they'll be happy to respond.
- Charles 'SQL is Dead, Dawn Said So, but I'm still adding it to my product' Barouch
Tom Firl wrote:
So, I'm moving on from my "encrypted database" problem (that was put on hold) and now I have a new, interesting problem. I'm looking at a proposal that seems to demand a solution that is a cross between a "data replication system" and a "data warehouse".
The system needs to be able to "Extract" data from a feed up updates to specified Universe or jBASE files in "real-time" (once a minute, or so will suffice), do some "Transformation" on the data, then "Load" the data into a DB2 or SQL Server (not my implementation requirement... don't yell at me). During peak times, I'm supposing could be over a thousand updates per minute written to the data replication feed. I don't know if it's reasonable to expect this system to be able to handle that kind of throughput... that is to be determined.
The rationale for the system is to allow people to use standard reporting, OLAP, and BI tools. In industry parlance, I think such a system is called a "Real Time Data Warehouse (RTDW)".
So, here's where you can help...
I'm brainstorming for design/implementation ideas. First, I'm trying to get the lay-of-the-land of tools and companies that can help with the "ETL" (Extract-Transform-Load) part of this project (is this what DataStage does?). Where do I look?
Second, I'm searching for clever ideas about how to create and extract the data feed containing file updates -- such as leveraging UV-DR. I'd prefer to create the data replication feed in isolation from the ETL tool. Seeing as I'm a little lazy (and hoping we won't have to roll our own) I'd like to evaluate off-the-shelf solutions.
Tom Firl Columbia Ultimate
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