A look at the basics of CLR integration with SQL Server, focusing on the nuts and bolts of CLR objects, followed by some practical examples.
Sets are king when it comes to SQL Server, but sometimes you need to see data row by row. Window
Functions help you get the best of both worlds. Learn when and where these functions can help you get what you need without compromising performance.
This 500 level session will focus on using undocumented statements and trace flags to get insight into how the query optimizer works and show you which operations it performs during query optimization.
In this session I will talk about backup, integrity check, and index and statistics maintenance, and how you can use my maintenance solution (http://ola.hallengren.com) in an enterprise environment.
Join this session to make a deep dive into how SQL Server implements physical locking with lightweight synchronization objects like Latches and Spinlocks.
Join me in this session to get a basic understanding of Bookmark Lookups, and why they can be dangerous in SQL Server.
The plan cache is one of SQL Server's fundamental components. Getting to know it can take you a few steps ahead in optimizing your system.
In this session we will demonstrate ways the Plan Cache can help us identify performance problems.
Come to this session to learn how bad habits develop, the problems they lead to, and how you can avoid them.
The purpose of this session is to have some fun with T-SQL and to learn practical tips and tricks that will help you improve and optimize your solutions.
This session will show you how parameter sniffing works and in which cases could be a problem. How to diagnose and troubleshoot parameter sniffing problems and their solutions will be discussed as well.
Do you struggle to reduce those frustrating long hours it takes to load data? Are your time windows for loading becoming too short for comfort? If so – you simply can’t afford to miss this session…
At the heart of SQL Server is the cost based optimizer. This is driven by estimates and they in turn are driven by statistics.
This will be a deep dive into how the optimizer makes its decisions to give you a plan, the things that can go wrong.
This session will discuss what a modern strategy for data warehousing can be in this era, considering how the use of technologies like PowerPivot or Analysis Services Tabular affect the way you should model your data.
This session will include a variety of such activities including Gathering Performance Counters in several servers at the same time using posh jobs, identifying Blocked Sessions and Reading & filtering SQL Error Log even if the Instance is offline
In this session we will advice how to avoid common developer mistakes and show how bad designed queries reduce the SQL Server optimizer's capabilities for choosing an optimal execution plan.
This session will cover a collection of minor bad habits that can occasionally lead to major problems, and a set of best practices that you should always have in mind.
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.