Stacia Varga has over 25 years of experience with improving business practices through technology and has been providing consulting and education services for Microsoft’s data platform technologies since 2000. She founded Data Inspirations in 2006. Stacia is a Microsoft Data Platform MVP and a frequent speaker at technical conferences worldwide. She has also authored and co-authored multiple books and whitepapers about Microsoft technologies.
Stacia Varga's Sessions
Getting Your Story Straight with Data VisualizationsSQLBits 2017
Choosing the wrong visualization can obscure the story - or worse yet, distort it! In this session, learn the vocabulary of data visualization and how to apply grammar (visualization design principles) to your data.
Building a BI Performance Monitoring SolutionSQLBits 2014
Learn how to use performance counters, report execution log data, and trace files to troubleshoot performance problems. Learn how to set up a monitoring solution to capture data and diagnose slow queries.
So How Does BI Workload Impact the Database Engine? Part ISQLBits 2012
In this first of two sessions, we review the architecture of SQL Server and its BI components and deployment options for optimal performance. We'll also discuss how to optimize data warehouse load operations.
So How Does BI Workload Impact the Database Engine? Part ISQLBits 2012
In this first of two sessions, we review the architecture of SQL Server and its BI components and deployment options for optimal performance. We'll also discuss how to optimize data warehouse load operations.
So How Does BI Workload Impact the Database Engine? Part ISQLBits 2012
In this first of two sessions, we review the architecture of SQL Server and its BI components and deployment options for optimal performance. We'll also discuss how to optimize data warehouse load operations.
So How Does BI Workload Impact the Database Engine? Part ISQLBits 2012
In this first of two sessions, we review the architecture of SQL Server and its BI components and deployment options for optimal performance. We'll also discuss how to optimize data warehouse load operations.