The new data terms of Data Lake, Data Reservoir, and Data Swamp have left me with more questions than answers. In this presentation, Karen discusses the types of data anomalies that organizations can run into when they use external data, the wrong datasets for the right reasons and the right datasets for the wrong reasons. Karen uses real-life examples of her own data to show the impact of bad data decisions.

This session will include recommendations for how to avoid or fix these data quality issues in SQL Server and SQL DB.

These errors in design, oversights, and old-school, traditional practices can impact the success of your projects, even if you don't use any data lakes.