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.
The geospatial capabilities in SQL Server are not only powerful, but easy and fun to use! In this session, learn how to integrate location-awareness into your own applications with the geometry and geography data types.
A chance for speakers new and seasoned to take the stage for 5 minutes and effuse about something/anything in SQL Server they love.
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.
A look at binary data in SQL Server and full-text searching of the content of binary files.
In this session we will learn about the SSISDB catalog views. We will use this info plus our own info to build a monitoring solution for SSIS using SSRS.
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.
Most T-SQL developers know that the APPLY operator can be used to invoke a table valued function. But do you know the other ways APPLY can be used? Come learn five additional use cases and leave with a few new tricks up your T-SQL sleeves.
While knowledge of SQL Server troubleshooting still applies to the Windows Azure SQL Database service, there are new and different features, methods, and tools that are unique to cloud database computing. Come learn about these new techniques.
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
SQL Server Integration Services (SSIS) 2012 includes a new database referred to as the SSIS Catalog. Come to this session to learn what it does and how its going to change how you do SSIS development.
This session will cover advanced security topics in the Analysis Services Multidimensional model.
We'll focus on the awesome new SQL Server 2012 stuff that will make your T-SQL development a breeze. We'll look at new stuff like OFFSET, WINDOWING FUNCTIONS, SEQUENCES, ERROR HANDLING, FORMAT & CONVERT functions and METADATA DISCOVERY.
Most of us use Excel in our Daily work, but are you familiar with the Business Intelligence features in Excel? In this session we'll look at some of the most common and useful BI features in Excel 2010 and discuss limitations and best practices.
A chance for speakers new and seasoned to take the stage for 5 minutes and effuse about something/anything in SQL Server they love.
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