For the best web experience, please use IE11+, Chrome, Firefox, or Safari

MSSQLTips and Quest webcast: Building the Best Virtual SQL Server Environments

MSSQLTips and Quest webcast: Building the Best Virtual SQL Server Environments
Online

Sept

24

  • Date:Sept. 24, 2020
  • Time: 1:00 PM – 2:00 PM EST
  • Event:Online
MSSQLTips and Quest webcast: Building the Best Virtual SQL Server Environments

Virtualization administrators and tools that don’t support the specialized needs of database servers can make your job challenging. If you’ve ever had a sysadmin ask why your server was using all of its RAM, you understand these challenges.

In this session, SQL Server MVP Joseph D'Antoni and Oracle ACE Director Janis Griffin will show you how to overcome these obstacles and improve performance in virtual SQL Server environments.

You’ll learn how to:

  • Configure VMs for SQL Server and database workloads
  • Troubleshoot and understand where performance bottlenecks can happen
  • Follow best practices to quickly and proactively fix performance problems

Speakers

Joseph D'Antoni is a senior architect and SQL Server MVP with more than a decade of experience working in both Fortune 500 and smaller firms. He is currently principal consultant at Denny Cherry and Associates in Malvern, PA. He is a frequent speaker at major tech events and blogs about all topics technology. He believes that no single platform is the answer to all technology problems. He holds a BS in computer information systems from Louisiana Tech and an MBA from North Carolina State.

Janis Griffin is an Oracle ACE Director with more than 30 years of DBA/database experience, including design, development and implementation of many critical database applications. Before coming to Quest Software, Janis primarily worked in the Telecom/Network Industry, working with both real-time network routing databases and OLTP business-to-business applications. Janis also held positions as a principal architect and senior manager, mentoring other DBAs on best practices in database performance tuning.