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#1
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#2
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I almost hate to ask this in such an open forum, but I'm looking for the right OLAP solution to replace one that we already have. Our application has Planning functions where users work on subsets of a cube in a workbook and later commit their changes to the original cube. It also has Forecasting and Allocation functions that generate dense forecasts based on sparse data. It isn't purely a 'read-only' OLAP (whose source might be a relational database), it is also updatable. The factual data typically ends up being on the order of 1 TB (not counting user workbooks, derived values, or "materialized" calculations). The solution needs to be fast (user workbooks are on the order of 50 MB and typically have changes to 50% of the data which needs to be committed) and able to handle concurrent updates from potentially thousands of users (though more typically hundreds); updates are on data that is unique per user (in other words, one user doesn't update the same data as another). It also needs to be able to handle batch-like operations quickly where substantial parts of the multidimensional space change based on forecasts. And I haven't yet mentioned that the measures are not static. The time dimension always changes (obviously) but other measures (like the number of locations) also very with time. So, with all of these requirements is there any *one* OLAP system that can meet our needs? I've had a look at a variety of options and Oracle OLAP (under 9.2) appears to be the best bet...but the traditions of that product seem to be in data mining and not "interactive, updateable" applications. It seemingly has that capability, I'm just how sure it performs well. There seems to be a difference between the planning space and the forecasting space. Engines are geared for one or the other but not both...but this is based only on research that I've done on the web...so I could be missing a gem! Please contribute your ideas to what I'm sure will be a lively thread! Thanks, :-Phil |
#3
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"Howard Taylor [O2OLAP]" <Howard.Taylor (AT) o2olap (DOT) com> wrote Phil Have a look at www.o2olap.com. O2OLAP for Excel works with Microsoft's Analysis Services. Signup for one of our online real-time demonstrations. Planning, forecasting, allocations, batch processes and "interactive, updateable" with optimization. Regards Howard Do you have referencable customers that manage 1 TB of multidimensional data? Microsoft has never been good in the enterprise data space, I question the ability for it to perform well. Our current solution requires "big iron" Unix boxes (32-64 CPU)...MS can't currently support processing requirements at this level. I don't know exactly how their OLAP is architected but will look some more into it. Thanks, :-Phil |
#4
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I almost hate to ask this in such an open forum, but I'm looking for the right OLAP solution to replace one that we already have. Our application has Planning functions where users work on subsets of a cube in a workbook and later commit their changes to the original cube. It also has Forecasting and Allocation functions that generate dense forecasts based on sparse data. It isn't purely a 'read-only' OLAP (whose source might be a relational database), it is also updatable. The factual data typically ends up being on the order of 1 TB (not counting user workbooks, derived values, or "materialized" calculations). The solution needs to be fast (user workbooks are on the order of 50 MB and typically have changes to 50% of the data which needs to be committed) and able to handle concurrent updates from potentially thousands of users (though more typically hundreds); updates are on data that is unique per user (in other words, one user doesn't update the same data as another). It also needs to be able to handle batch-like operations quickly where substantial parts of the multidimensional space change based on forecasts. And I haven't yet mentioned that the measures are not static. The time dimension always changes (obviously) but other measures (like the number of locations) also very with time. So, with all of these requirements is there any *one* OLAP system that can meet our needs? I've had a look at a variety of options and Oracle OLAP (under 9.2) appears to be the best bet...but the traditions of that product seem to be in data mining and not "interactive, updateable" applications. It seemingly has that capability, I'm just how sure it performs well. There seems to be a difference between the planning space and the forecasting space. Engines are geared for one or the other but not both...but this is based only on research that I've done on the web...so I could be missing a gem! Please contribute your ideas to what I'm sure will be a lively thread! Thanks, :-Phil |
#5
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The solution needs to be fast (user workbooks are on the order of 50 MB and typically have changes to 50% of the data which needs to be committed) and able to handle concurrent updates from potentially thousands of users (though more typically hundreds); updates are on data that is unique per user (in other words, one user doesn't update the same data as another). |
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There seems to be a difference between the planning space and the forecasting space. Engines are geared for one or the other but not both...but this is based only on research that I've done on the web...so I could be missing a gem! |

#6
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"Howard Taylor [O2OLAP]" <Howard.Taylor (AT) o2olap (DOT) com> wrote Phil Have a look at www.o2olap.com. O2OLAP for Excel works with Microsoft's Analysis Services. Signup for one of our online real-time demonstrations. Planning, forecasting, allocations, batch processes and "interactive, updateable" with optimization. Regards Howard Do you have referencable customers that manage 1 TB of multidimensional data? Microsoft has never been good in the enterprise data space, I question the ability for it to perform well. Our current solution requires "big iron" Unix boxes (32-64 CPU)...MS can't currently support processing requirements at this level. I don't know exactly how their OLAP is architected but will look some more into it. |
#7
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Phil We do not have customers with this sort of volume of data but I will try to find out from MS and some other OLAP vendors if they have referencable clients with the volumes concerned. Howard www.o2olap.com "Phil" <google (AT) philgra (DOT) org> wrote in message news:6b1894ca.0307290353.e21ded (AT) posting (DOT) google.com... "Howard Taylor [O2OLAP]" <Howard.Taylor (AT) o2olap (DOT) com> wrote in message news:<bg4uft$lof$1 (AT) titan (DOT) btinternet.com>... Phil Have a look at www.o2olap.com. O2OLAP for Excel works with Microsoft's Analysis Services. Signup for one of our online real-time demonstrations. Planning, forecasting, allocations, batch processes and "interactive, updateable" with optimization. Regards Howard Do you have referencable customers that manage 1 TB of multidimensional data? Microsoft has never been good in the enterprise data space, I question the ability for it to perform well. Our current solution requires "big iron" Unix boxes (32-64 CPU)...MS can't currently support processing requirements at this level. I don't know exactly how their OLAP is architected but will look some more into it. Thanks, :-Phil |
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