Combine 3 relational files to one flat files and add some measures in order to make reporting faster
The tables are in advantage data files from Sybase (server and Local server)
[login to view URL]
This job deals with 3 files:
TmpCalc –Sales Tickets details
Prdmstr –Product Master
MixHD – Mix and Match
And a new file [login to view URL] - Daly Sales
The job is to transform the files into a flat file each row to have the sum sales of a given product in a day and other attributes from the product file and some measures
The measures includes:
Quantity Sold
Quantity Returns
$ sales
$ Returns
highest price sold
Quan sold @ highest price
Lowest price sold
Quan Lowest price
Average price
Count sold with other prices (maybe there is another way of giving this valuable info like the price mostly used, or the 3 main prices and their count and then other prices and their count)
Cost
Profit $
Profit %
Also date dimensions would be added like;
Day of week
Month
Year
Week of year
If Cost is different in 2 records for same item for same day in Tmpcalc then a separate record should be created.
Job would run once an hour as a scheduled task and only update the records that was not updated yet.
We are adding a field LsUpdated in Tmpcalc that will contain DateTime of last change made. ETL should keep a DateTime of last reocrd imported [max(LsUpdated)] and import all records with a later LsUpdated value.
The sales person could go back and edit a old ticket this is why if a ticket is edited after it is already in the [login to view URL] the next time it is being updated all of the tickets with this item, date and cost has to be recalculated
If the tmpcalc->code is empty or not found in [login to view URL] then use tmpcalc->Desc
In order to be granted this job we would need a demo (could be compiled in some way or time limited) and we would test it on our data you could use some SQL script or a ETL program, currently we use pentaho for ETL jobes and Delphi for our apps.
i would send you a link for the data files and its layout