Episode 72
| December 03, 2016
| 46 minutes
Testing Automation for Business Intelligence
In the data space we’re hearing a lot about dev ops, continuous integration and the programmers are getting a lot of love there with lots of tools to help them; however, if you’re on the data side–not so much. If you’re running Agile in your environment and then you’re trying to do data warehousing or other data development we’re not quite getting the same love. Sure, there are a couple of unit testing software offerings out there, but it’s a little bit cumbersome. This episode our conversation focuses on testing automation in a business intelligence or data warehouse environment–even in an Agile system. Our guest is Lynn Winterboer and she has some interesting thoughts at the intersection of business users, data professionals and tools.
Listen to Learn
- Where the burden of final testing should be
- Roles for the business and the IT sides for testing automation
- Ways to get started with testing automation
- How to find the product owner for the data warehouse
- How your test environments might look different than they do today
- Testing automation is the goal, but there are several baby steps to get there
- Why automation is not the most complicated piece of testing automation
Our Guest
Lynn Winterboer
“I’m primarily a business person who has also spent over 20 years working in the data warehousing world as a business analyst, project manager or being the business lead on a data warehousing project.”
Lynn is a an Agile Analytics Coach and trainer with Winterboer Agile Analytics based in Denver Colorado. She has two daughters and works with her husband on the business
I would say what we need the business users to do, if we’re on the IT side, what we need from our business users is their specific expertise and we need to be using them for things that require their specific expertise.
Meet the Hosts
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
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
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.
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