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Helpful, thanks
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Very Good.
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thank you..great video...I have to look up gl account dimension table for gl account skey, when it is not found, i want to still load the fact but also add the new gl account to dimension table. hopefully you will be posting more training videos on this subject.
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nice and simple to understand vedio
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informative
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thank you!
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Philip Hickey on
7/21/2009
Definitely the best presenter on Jumpstart....very well paced demo
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very basic video
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Fantastic video, much appreciated. Volume is quite low though, you might want to look into this for future videos. Thanks!
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Jamshid Nouri on
7/21/2009
excellent demo
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Very helpful to an SSIS newbie like me.
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Jamshid Nouri on
7/21/2009
excellent demo
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I did not see why 7 reocrds go to fail route clearly.
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Simple and good one to learn Lookup transform as well error handling
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Mark Gorczyca on
7/28/2009
This is a good piece of information for people getting started with the Lookup Transform. One question I haven't seen to much on though, suppose that you don't want to capture the error output rows for any reason (writing to audit table, destination, etc.) SSIS will give you a validation warning that the error output is unused. What is the best practices approach if you don't want validation warnings ... I've started just sending the error output to a Row Count transform, and storing the count in a variable (which goes unused). I don't want to waste the resources of writing this data down to disk. Just a question in case you find the time to discuss down the road.
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excellent
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Should have started off with the end point from the lookup basics video
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Really enjoyed this one. Very informative yet easy to follow. Thanks!
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Sujoy Bardhan on
8/28/2009
Looks good. But I was expecting if you could use a sub string function and then based on the substring put a value to it and finally use the value to multiply with another column. A good functional example which I can think of is :
Lets have a column as 23.4M which could be a Share Issuesd. We use that column and take the right first character. If it's M then the value will be 1000,000 if its B then 1000000000 if L then 1000000. Lets call it a multiplier. Then use this multiplier to multiply with a column say Shares which could be numeric.
I am new to SSIS and was looking for derived columns with multiple processes. That would be a help.
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Tim Mitchell on
8/29/2009
Mark, regarding the validation warning for unused rows, there is a useful tool called the Trash Destination by Konesans. It's a third party add in that acts as a do-nothing destination, and is ideal for testing or other situations where you have data to be sent to the bit bucket.
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Tim Mitchell on
8/29/2009
Sujoy, you could use an SSIS derived column for this purpose. The expression statement would likely be quite complex, but it could be done. I'll be glad to help you with this, if you want to contact me at tdmitch [at] gmail.
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very good article
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thanks, Tim, your video really helps.
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sound very poor
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Excellent
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good
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murshitha21 on
10/30/2009
Great Example
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excellent work you guys.
Keep it up.
Thank you for this valuable free service.
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very good for us new beginners. Just one question:The match output handles the rows in the transformation input that match entry in the reference dataset - what about in reverse? I want the output handles the rows in ref dataset that match the input rows ?
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Tim Mitchell on
11/19/2009
Nate - good question. Actually the reference data set is not used as part of the data flow except for the purpose of lookups. If you wanted to do the reverse operation, you'd need to create a second data source, lookup, and data destination with your original lookup as the data flow stream.
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I appriciate the presentaion. Very Good!!!
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Can you add webcasts for fuzzy lookup as well?
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Perfect... I love this iste.. Single point of reference to all SSIS related solution.. You people are rocking.. Thanks.. Keep going.. :)
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Good ..thnx..
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Thanks
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thanks
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Very good
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Looks like an excelent vido but I can't hear. Please pump up the volume
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Another great video. There is an issue with the volume on all of the videos that I have watched so far.
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Very nice! Thanks for taking the time to make this informative video.
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Good stuff! Thank you!
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its nice
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This was better than the prior Lookup video - and this one had much better audio.
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