Episode 228
| July 14, 2021
| 68 minutes
Predicting Application Problems with Database Metrics
As data practitioners, we want to get ahead of any problems that might come up and share those insights with others on our team. In this episode, Edward Pollack gives us a few scenarios we might consider as we attempt to prevent application issues. These techniques also go into the security space and could help prevent data loss. As we collect this information and make it available to others, we can also demonstrate the ROI we provide to the organization.
Our Guest
Edward Pollack
Ed has over 20 years of experience in database and systems administration, developing a passion for performance optimization, database design, and wacky analytics. He has spoken at many user groups, data conferences, and summits. This led him to organize SQL Saturday Albany, which has become an annual event for New York’s Capital Region. Sharing these experiences with the community is a top priority, and encouraging everyone to take the leap into public speaking and engaging others, a passion. In his free time, Ed enjoys video games, sci-fi & fantasy, traveling, and cooking exceptionally spicy foods.
If you can find a bug before [users] do, you’re a hero and you’ve solved a huge problem and made it look easy and that’s great!
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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