In this session, we are going to explain and test different DW features in SQL Server 2012, including star join optimization through bitmap filters, table partitioning, window functions, columnstore indices and more.
An in-depth dive into physical table structures
This session looks at some of the different methods available to load slowly changing dimension data into a data warehouse, and compares the relative performance given different data scenarios and traditional storage compared with FusionIO
The fill-factor index option has a huge impact on the performance of your DB. By using a different approach for specific use cases this session will give you the tools to find the most optimal fill-factor for your tables.
Snapshots without snapshots...is that possible? Take a "Classic" snapshot fact table, add some temporal data theory and you'll get a new fact table than can store snapshot data without doing snapshots. A life saver when you have a lot of data.
SQL Server optimizer doesn't use and index seek for execution of your query although the query is high selective? What is better, when and why: LIKE vs: SUBSTRING, IN vs. EXISTS, SUBQUERY vs. JOIN. Why you should not use the UPPER or LOWER functions?
It's Friday, 05:00pm. You are just receiving an email that informs you that your SQL Server has enormous performance problems! What can you do? How can you identify the problem and resolve it fast?
This session will take a look at query plan operators, what they are, what they each do, why they get chosen and also how to avoid using them when they perform badly. This will be held mainly in management studio with lots of examples
It's important to keep a baseline of performance metrics that allow us to know when something is wrong and help us to track it down and fix the problem. This session will show you how to use PowerShell to gather your baseline and how to report it.
How do you do database maintenance in an enterprise environment? In this session I will go through how you can do backup, integrity check, index and statistics maintenance using Ola Hallengren's Maintenance Solution.