Fairfield PASS

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Please sign up on our Meetup (click here) for this event. You would not want us to run out of free pizza would you?

We look forward to seeing everyone!

Next Meeting

Tuesday,

November

10

SSIS Optimization Techniques

  • In-Person @ 1 University Pl Stamford, Connecticut, United States (map)
  • 18:00 - 20:00 (UTC-05:00) Eastern Time (US & Canada)
  • Language: English

Join us on November 10th for a presentation on optimizing SSIS.

Featured Presentation:

SSIS Optimization Techniques

Dan Bowlin

There are number of things you can do to optimize SSIS packages to improve overall performance and shorten load times. This session will review 3 areas: common mistakes developers make, settings and tweaks, and design pattern improvements. Some of the things you will see can make dramatic improvements in speed, while others are for those seeking to pull every last bit of performance out of your packages.

About Dan:
I have been working with SQL Server since 1999. Sometime around the end of 2008 I became very interested in the SQL Server BI stack. I decided that BI was a good choice for a career specialty so I began to focus, both personally and professionally, on increasing my skills in the SQL Server BI Stack. In addition to reading as many books on the subject as I could find, I started reading blogs, and I started attending SQL Saturday events in the region. For me, a specialty in the MS SQL Server BI stack has been a great choice. I find it challenging, and engaging. I love the problem solving that comes with the work. A few years ago I felt I had gotten so much out of the SQL Server community that I wanted to start to participate and give some back. I started a local chapter of PASS in the Capital Region of NY, I started blogging intermittently on www.bidn.com and I even began speaking at SQL Saturday events. The more I participate in the SQL community, the more I enjoy it. So I thought I would launch my own blog in an effort to try to continue to give to the community that has given so much to me.

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