Neil Hambly on Effective Index Partitioning, Compression Strategy

The next SQL Server Ireland User Group meeting is “Effective Index Partitioning, Compression Strategy” on Tuesday, May 28th, 2013 at the usual location in Auditorium, on the Ground Floor of the Microsoft Atrium building, in Sandyford.

We all know that ‘Indexing’ is KING when it comes to achieving high levels of performance in SQL Server.

When Indexing also combines 2 of the Enterprise features: Partitioning & Compression, we can often see substantial gains.

Learn how to identify those objects that benefit greatly from being Partitioned or Compressed, OR combining both of these features to even greater effect.

Using Demos to illustrate the performance gains with real-world examples,

Take away advanced scripts for use in your own environments.

When:             May 28th,  2013 at 18.30

Where:            Microsoft Atrium, Carmanhall Road, Sandyford, Dublin 18. A limited amount of underground parking is available via the rear of the building.

Cost:               FREE Community Event

Registration:    Not required. Contact ssiug at for more details or visit the Microsoft Technology User Groups site ( )

Neil Hambly is a Senior DBA @ Confio Software, having held various SQL Server roles during the last 14 years @ market leading companies (Accenture, ABN AMRO, BBC, iProfile, MDSL) He has considerable Experience in SQL Server starting with version 6.5 through to the latest 2012 release. A regular International speaker @ SQL conference & User Group, he also leads the SQL London PASS Chapter (UK). Frequently found studying the inner workings of SQL Server, as well as an avid Tweeter @Neil_Hambly.

Leave a comment

Leave a Reply

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

You are commenting using your 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 )

Google+ photo

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

Connecting to %s

%d bloggers like this: