Microsoft MVP – Data Platform
Taiob Ali, Microsoft Data Platform MVP, is an accomplished technical leader with a proven record of success. During his last 15 years, he has worked with the Microsoft Data Platform and MongoDB, both on-premises and cloud. His experience includes all three major business sectors: finance, e-commerce, and healthcare. Taiob has hands-on experience managing large database projects, including massive data migration, intricate process design, testing and deployment, performance tuning, and long-term capacity planning.
Taiob is currently working at “GMO LLC” as Database Solutions Manager, focusing on cloud migration, automation, improving, and streamlining operational workflow. He is a regular speaker at local and virtual chapters, Data Saturdays, and Azure conferences. He is a board member of New England SQL Server User Group, founder of ‘Database Professionals Virtual Meetup Group’, and organizer of Boston Data Saturday.
SESSION DETAILS
Title : Azure SQL Database – Where is my SQL Agent?
Description :
You migrate your on-premises SQL Database to the cloud, taking advantage of the PaaS offering of Azure SQL Database. You heard the promise of spinning up databases on-demand and scale up resources during high peak and scale down when not in use. You also want to ensure you perform integrity checks, index defragmentation, and statistics updates when necessary. There is no SQL Agent, so how do you automate your jobs? Do you have time to do this manually each time? No. There are different options available to automate these long-running, manual, error-prone, and frequently repeated tasks to increase efficiency.
In this demo intensive session, I will show you different options on how to automate these tasks. Some of these solutions using on-prem infrastructure or services in Azure are conveniently encapsulated within the common Azure portal experience.
At the end of this session, you will have a solid understanding of how to automate SQL Server Maintenance tasks, including replacing SQL Agent functionality with multiple options.