SQL Server and Graph Data
There is a growing list of formats to store data and Graph is one of the newer trends. It is becoming so popular SQL Server has created ways to implement graph structures, and in this episode, we revisit some of the origins of Graph, what it is good at, and why you may not want to rush to move all your data to Graph storage.
Mala Mahadevan is a senior database professional with over 20 years of experience working with data, primarily in SQL Server and related technologies. She has been volunteering with SQL Server community for the past 15 years and is also a recipient of the PASSion award for being an outstanding volunteer. She is a featured blogger on sqlservercentral.com and also blogs frequently at curiousaboutdata.com. She is active on Twitter as @sqlmal.
If you have a lot of relationships in comparison to entities and if your interest is in querying on the relationships, not the entities themselves, you’re probably a candidate for graph data.
Meet the Hosts
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 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 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.