The need for organizations to provide Row Level Security (RLS) in their applications is increasing every day, often in existing applications where code changes are not easy. Microsoft has addressed this need in SQL Server 2016/Azure SQL DB with predicate based RLS. This session will show how organizational & asset hierarchies are leveraged together to provide predicate-based RLS on tables in SQL Server 2016/Azure SQL Database without application changes. This session will go beyond the basic RLS setups and show a real-world production setup of RLS using a small number of security records to secure large and small organizations. Attendees will leave with a complete working demo they can take to their work and begin to use immediately. The demo will walk completely through creating the database, creating the application tables and security related tables, loading demo and security data, setting up the RLS and testing the RLS using Power BI as a test application.
Jamey Johnston is a Data Scientist for a large independent Oil and Gas company. He currently works on data gathering, cleansing and statistical/predictive modeling using SAS and R. For the past 20 years he has worked for Fortune 500 companies architecting successful database and BI systems and working on Predictive Analytics. He holds a BS in Spatial Analysis from LSU and a Masters of Science in Analytics from Texas A&M. He is active in his local SQL Pass chapter in Houston and speaking and volunteering at SQL Saturdays.