Spark in Action
Iâll have to be honest on this oneâI donât do anything with Spark, so I canât offer much in this category. What I can do is help connect you with others who have a bit more to say on the matter. This episode is an example. As we stretch the technology stack in this episode, I rely on my trusty co-hosts to get us through. Kevin and Jean-Georges Perrin do a great job giving us their thoughts on Spark. I hope you will enjoy the episode and that Jean-Georgesâs book offers you some insights.
The idea is as you process more and more data, and most of IT is about processing data at some point, a lot of those applications youâre building, especially with Spark, is really about analytics.
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 usersâ 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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