SSIS Administration

For all of us working with data, we know that we work no only with SQL Server but the suite of tools around the SQL Server engine.  In this episode, we share some thoughts around SSIS administration, which is the most popular ETL tool in the Microsoft stack.  Just like the SQL Server engine, many times the defaults are taken and in this episode we give some thoughts around logging, package execution, and notification with our guest Ravi Kumar.  With the every expanding functionality of SSIS, Steve and I found this discussion insightful as we think about supporting an SSIS environment and ways we can educate package developers.

Listen to Learn

  • Why you want to consider SSIS Buffer sizing
  • The differences between package deployment vs project deployment
  • The benefits of package deployment
  • The various logging types for SSIS packages
  • Two parameters to tweak for SSISDB cleanup
  • The validations steps a package goes through for execution.

Our Guest

usqxs2j9 400x400

Ravi Kumar

Besides being a former SQL Cruiser, Ravi is the BI architect for LMO advertising in Baltimore Maryland.  He is the co-leader of the BI PASS chapter and frequent contributor to SSIS related discussion on the east coast.

That’s one of the things I preach to everybody that, keep your data types as narrow as possible. It’ll make SSIS Package run a lot faster.

Ravi Kumar

Meet the Hosts

carlos chacon headshot

Carlos Chacon

With more than 10 years of working with SQL Server, Carlos helps businesses ensure their SQL Server environments meet their users’ expectations. He can provide insights on performance, migrations, and disaster recovery. He is also active in the SQL Server community and regularly speaks at user group meetings and conferences. He helps support the free database monitoring tool found at databasehealth.com and provides training through SQL Trail events.

eugene meidinger headshot

Eugene Meidinger

Eugene works as an independent BI consultant and Pluralsight author, specializing in Power BI and the Azure Data Platform. He has been working with data for over 8 years and speaks regularly at user groups and conferences. He also helps run the GroupBy online conference.

kevin feasel headshot

Kevin Feasel

Kevin is a Microsoft Data Platform MVP and proprietor of Catallaxy Services, LLC, where he specializes in T-SQL development, machine learning, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL, president of the Triangle Area SQL Server Users Group, and author of the books PolyBase Revealed (Apress, 2020) and Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python (Apress, 2022). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.

Want to Submit Some Feedback?

Did we miss something or not quite get it right? Want to be a guest or suggest a guest/topic for the podcast?

Let's find what you're looking for