Video: Cleaning Up SQL Server Indexes with Defragmentation

Want to learn how to speed up your queries.  In this video from Pinal Dave and Vinod Kumar’s course SQL Server Performance:  Indexing Basics, you’ll see the best methods for cleaning up an index based on its fragmentation using reorganizing and rebuilding as well as how to use index maintenance scripts to perform more detailed tasks.  In the full course they cover other topics such as primary keys, clustered and non-clustered indexes, filtered indexes, and indexing tips and tricks.

Pinal Dave is a Microsoft Technology Evangelist (Database and BI). He has written over 2000 articles on the subject on his blog at http://blog.sqlauthority.com. He is the co-author of three SQL Server books – SQL Server Programming, SQL Wait Stats and SQL Server Interview Questions and Answers. Vinod Kumar has worked with SQL Server extensively since joining the industry over a decade ago. Before joining Microsoft, he was a Microsoft MVP for SQL Server for more than 3 years. He is a well-known speaker at all major Microsoft and third party technical conferences.

If you’d like to learn more about how to make your queries perform, this course is definitely for you.  Do you have any special tips and tricks of your own?  Click on the comment links and let us see your indexing voodoo.

You can watch the full HD version of this video along with the other 1 hr 58 min of video found in this professional course by subscribing to Pluralsight. Visit SQL Server Performance:  Indexing Basics to view the full course outline. Pluralsight subscribers also benefit from cool features like mobile appsfull library searchprogress trackingexercise filesassessments, and offline viewing. Happy learning!

3 thoughts on “Video: Cleaning Up SQL Server Indexes with Defragmentation

  1. Pingback: Dew Drop – April 3, 2012 (#1,298) | Alvin Ashcraft's Morning Dew

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Connecting to %s