Paul S. Randal

Paul S.
Randal

Paul worked on Microsoft's SQL Server team for nine years in development and management roles, writing many of the DBCC commands, and he was ultimately responsible for SQL Server 2008's core storage engine. He now works as a consultant, trainer, speaker, and writer specializing in internals, maintenance, availability, and disaster recovery.

Articles
Using Database Repair for Disaster Recovery 2
Perform a repair operation using DBCC CHECKDB’s repair functionality to salvage some data from a corrupt database.
Advanced BACKUP and RESTORE Options 1
Most DBAs use the BACKUP and RESTORE commands’ standard options. However, some of the commands’ infrequently used options can help minimize data loss and downtime when disaster strikes, improve backup performance, and more.
Are You Taking the Right Backups? 1
In this PASS Summit Unite 2009 Speaker Tip, Paul Randal explains how you can minimize downtime when restoring your databases following a disaster.

Digital Magazine Archives

Browse back issues of SQL Server Pro, from January 2007 through the last issue published in April 2014. Find the back issues here.

 

From the Blogs
May 22, 2017
Sponsored

Chief Data Officer Playbook: How to Be Successful in This Ground-Breaking Role

Companies looking to grow and extract value from their data are increasingly turning to Chief Data Officers (CDOs) to execute their data strategy. The role is new, and a playbook is necessary to address the many challenges CDOs face....More
May 12, 2017
blog

5 Common Challenges to Building BI in the Cloud

After spending 20 years building analytics, BI and database solutions, I've focused on Cloud data solutions over the past 2 years. I've chosen 5 common challenges that I face every day with Cloud migrations and that you'll face in your Cloud BI projects....More
Sep 15, 2016
Sponsored

Power BI Desktop “Publish to Pyramid Server” Button

Many organizations today cannot use public cloud solutions because of security concerns, administrative challenges and functional limitations. However, they still need a centralized platform where end users can conduct self-service analytics in an IT-enabled environment....More

Sponsored Introduction Continue on to (or wait seconds) ×