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    <p>One thing that sounds counter intuitive is to replace your one Derived Column Transformation with 4 and have each one perform a single task. The reason this can provide performance improvement is that the engine can better parallelize operations if it can determine that these changes are independent. </p> <ul> <li><a href="http://sqlblog.com/blogs/jamie_thomson/archive/2011/01/12/investigation-can-different-combinations-of-components-effect-dataflow-performance.aspx" rel="nofollow">Investigation: Can different combinations of components affect Dataflow performance?</a></li> <li><a href="http://sqlcat.com/sqlcat/b/technicalnotes/archive/2010/08/18/increasing-throughput-of-pipelines-by-splitting-synchronous-transformations-into-multiple-tasks.aspx" rel="nofollow">Increasing Throughput of Pipelines by Splitting Synchronous Transformations into Multiple Tasks</a></li> </ul> <p>You <em>might</em> be running into network latency since you are referencing files on a remote server. Perhaps you can improve performance by copying those remote files to the local box before you being processing. The performance counters you'd be interested in are</p> <ul> <li>Network Interface / Current Bandwidth</li> <li>Network Interface / Bytes Total / sec</li> <li>Network Interface / Transfers/sec</li> </ul> <p>The other thing you can do is replace your destination and derived column with a Row Count transformation. Run the package a few times for all the files and that will determine your theoretical maximum speed. You won't be able to go any faster than that. Then add in your Derived column and re-run. That should help you understand whether the drop in performance is due to the destination, the derived column operation or the package is running as fast as the IO subsystem can go.</p>
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    1. POSSIS processing large amount of flat files is painfully slow
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    1. COSplitting work across multiple transforms only improves performance if you have multiple buffers of data. If I'm reading the original post right, he's only dealing with 30 rows per file, which would always go into a single buffer.
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    2. COCurse you @mattmasson and your superior SSIS knowledge!
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