Karen discusses five (plus a few more) database design blunders with tips on how to avoid them. Audience members will also be able to contribute their war stories of design fails, WTHs and D'ohs.
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
The Microsoft BI stack has a number of tools for data visualization - Excel, Power View, native Reporting Services, and Performance Point. Come see each visualization applied to the new tabular model in Analysis Services.
Ever deployed an Analysis Services cube that worked perfectly well with one user on the development server, only to find that it doesn’t meet the required volumes of user concurrency?
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
This session will do a brief overview of Analysis Services 2012 performance topics, and drill into some common methods for investigating performance issues. The talk will be adjusted based on the audience interests.
In this deep(!) dive session. I will walk you through the internal storage format of MDF files. I'll cover how SQL Server stores its own internal metadata, how it knows where to find your data, and how to read it once found.
The Column Store Index is an
exciting new technology in SQL Server 2012. Using column stores, you can
unlock new levels of performance for data warehouses – often gaining an order
of magnitude speedup on queries.
The addition of spatial data to SQL Server 2008 is one of the most important in terms of integration in line-of-business applications. This talk will discuss the new features and performance enhancements in SQL Server 2012.
This session will present you with a fascinating behind-the-scenes deep-dive view of the new column store index feature. How do column store indexes work? How are they built? And how can they yield such enormous performance boosts to some workloads?
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.
System Center Advisor assesses your servers’ configuration and helps you proactively avoid downtime, performance degradation, and data loss. It only takes 5 minutes to setup and is accessible wherever you have a web browser.
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.
This session reviews the purpose of NUMA, how it changes the internal behaviours of Windows and SQL Server 2012 and NUMA related performance monitoring.
For the most DBAs and DEVs the TempDb is a crystal ball. But the TempDb is the most critical component in a SQL Server installation and is used by your applications and also internally by SQL Server.
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
Organizations risk being overwhelmed by data. How can you effectively provide a “single version of the truth”, while unlocking the key trends and insights that will allow your business to succeed? Come to this session to find out how.
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.
Do you have complex dimensions in your data warehouse? Parent-child, late arriving, type 3 or type 6? In this session, we'll cover some SSIS patterns for handling each of these, along with tips for making them perform well.
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.
Based on my experience in creating OrcaMDF, an open source MDF file parser, I'll go through the primary storage structures, how to parse pages, headers, internal base tables, b-tree structures as well as the supporting IAM, GAM, SGAM and PFS pages.
Service Broker was introduced in SQL Server 2005 to provide asyncronous messaging in your database applications. In this session we'll walk you through the basics of Service Broker and show how you can use it to build highly scalable applications.
With a myriad of options available, choosing the most appropriate storage solution for your company can be challenging. This session will give you a brief introduction to the technologies available, and what to focus on when making the decision.
So your customer's dot.net application is ready to ship and it is dog slow. This session focuses on the tools and methology that SQL consultants use to test and improve performance with dot.net applications.
When loading a Fast Track Data Warehouse it is important to ensure that your data is optimally laid out for Sequential I/O. Fragmentation is therefore the enemy. Know your enemy. Learn what it is, how it occurs and prevent it from happening to you!
Virtualisation changes the way you need to monitor the performance of a virtualised instance of SQL Server. In this session I will demonstrate a balanced and well-rounded approach to performance monitoring in the virtual world along with best practices to avoid poor virtualised performance.
In this session we will take a deep dive into gaining an understanding of things that can affect transaction log performance and look into methods of prevention and troubleshooting of everyday gremlins.
This session will explore a handful of T-SQL practices - why they happen, why they're bad, and how we can work around them.
In this section we will show how to avoid performance problems caused by poor query design (functions in WHERE clause, data type conversions…) and explain how local variables and parameters affect the generation of execution plan.
In this session, I will talk about the lessons we have learned and the methodology we follow when diagnosing and resolving issues with real customer workloads running on 64 and 128 logical cores
Here I share a checklist I created from my experience and theory designed to make sure we’re ready to put our business critical SQL Servers on a virtualised platform and are prepared for the next time we get a database performance issue.
The talk will go back to SQL Server 7.0 when we have introduced “parallel query” in SQL Server for the first time. Lubor will share our initial “parallelism” challenges and how this feature has been developing through the subsequent releases
Do you already wanted to know how SQL Server 2008 stores a database file physically on the hard drive? In this session you will learn the internal structure of a SQL Server 2008 database file.
Jon Reade examines the performance benefits of SSDs in a SQL Server environment.
Writing your first SSIS custom components can seem like a very steep learning curve. In this session i shall walk you through a simple skeletal one to start you on your way.
Building performant data flows takes more than just dragging a few boxes onto a design surface. In this session I'll demonstrate that SSIS perf tuning is less about fine-grained tweaks and more about designing packages correctly in the first place.
With SQL Server you can integrate traditional tools such as SQL profiler and performance monitor to pinpoint problems. With SQL Server 2008, you can control environments using Policy based management and with the Resource Governor. Chris will explore
In this session we will look at some of the practices that you shouldn't follow when developing a SQL Server database. We will cover items such as query design, table design, indexes, constraints and more.
After this session you will have some practices that you know you should avoid in your SQL Server database if you want the best performance. If you have them you will know what you need to do to resolve them.
DAC(Data Tier Applications) a new feature introduced in SQL Server 2008 R2, learn how this new feature can fit into your database deployment lifecycle strategies, monitor the health & performance of your DAC applications using Utility Explorer
attend this session to understand exactly how the optimiser decides on its plans
In this session with examples we will continue to cover how to identify inefficiencies in parallel query execution.
Part I was presented during SQLBits VI in London, if you missed it, view the Webcasts @ http://webcast.sqlworkshops.com.
See how the optimiser chooses the operators it does through real world examples.
A number of techniques have been discussed for scaling SQL Server on big-iron systems. Some apply to transaction processing, others to data warehouses. However there is very little available guidance on the impact of each for specific application characteristics. Learn which techniques are absolutely essential and which contribute a only few percent.
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.
PANIC IN THE DATACENTER! Your databases are approaching - or surpassed - the Terrible Terabyte mark. You're pouring money into the SAN, but your data isn't pouring back out as fast as you want. You're terrified to DBCCs or index maintenance because everything takes forever, and you don't have big maintenance windows.
An overview of some everyday TSQL tuning techniques.
Do you wonder about SSIS performance? Well I do, and I've compiled my research into this session. We'll cover various design patterns for solving common problems like inserts vs. updates, is it faster to use a lookup, or can you just catch the errors and process them afterwards? As well as the richer patterns we'll look at some straight comparisons between two components that can be used to do perform the same task and ask which one is quicker?