Episode 96
| May 10, 2017
| 43 minutes
Building Community Tools
Have you ever created something and wanted to share it with others with the hope they will contribute and make it better? Sites like the new defunct codeplex and GitHub are full of functionality people want to share and work with others on; however, many projects remain dormant. What are the characteristics that create an environment where people want to contribute to your project? Steve and I discuss a few ideas and we interview two very successful community project leaders in Brent Ozar and Chrissy LeMarie about how they got started and what it takes to put together a good community project.
SQL Server in the News
https://azure.microsoft.com/en-us/services/analysis-services/
We don’t know that building community tools is for everyone. . . , but if you have a problem that you’ve solved and you are committed to it, you liked the idea and I’ll say go for it
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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