Sessions & Content

Hadoop (Big Data) vs SQL Server. A view from a SQL Server DBA / Developer
In this demo-rich presentation, Brian shows you some of the common and not so common ways to tune SQL Server Integration Services (SSIS).
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 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
In this session you'll get a good introduction of the concepts and advantages of Biml as we walk to the creation of Meta Data Driven SSIS Solution.
In this “demo-tastic” presentation, SSIS trainer, author, and consultant Andy Leonard explains the what, why, and how of an SSIS framework that delivers metadata-driven package execution, connections management, and centralizes logging.
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.
The SQL Server provides much functionality that increases the scalability and flexibility of your solution by distributing data and jobs among low-priced commodity servers.
A look at the new SSIS features in SQL Server code-named Denali
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.
My Name is Thomas Keyser and I work for Microsoft in the SQLCAT team. I hold the land speed record for data loading in SQL Server so come here my talk on the options you have.
After years of careful observation and recording of the Species SSIS, Genus ETL, in both natural and artificial environments, I’ve gathered a large collection of fieldnotes. Find out the little decisions that get made that can have big impacts on you project later on. What option to choose for better performance, or better management, and what are the trade-offs? This session won’t just focus on holy grail of performance, it will review the way you build and use SSIS taking into account the on going maintenance and management aspects as well.
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?
If you want to understand how to load data into Sql Server very quickly then this is the session for you.
There are a number of 3rd party add-ins available that may aid your SQL Server Integration Services (SSIS) development. In this session I will demonstrate some of them.
Common Integration Services Problems and Solutions
A look at some of the things that make using SSIS in SQL Server 2008 a very good choice for your ETL requirements
In this session we will cover 3 new enhancements to the Database Engine. Application and Multi-Server Management introduces new capabilities for managing, monitoring and exploiting your SQL Server Infrastructure through the new SQL Server Control Point and enhancements to SSMS and Policy Based Management and Data-tier application packages. SQL Connection Plans allow you to logically refer to an application in connection strings rather than servers making migration of database applications across your SQL Server infrastructure much easier. Unicode compression in R2 enhances the native data compression capabilities introduced in SQL 2008 for Unicode data using SCSU (Simple Compression Scheme for Unicode Data)
Using a predictive technology inside something that moves your data around really makes sense sometimes although not a lot of people are taking advantage of it. Let me show you how to use the two together
Come to this session to see how you can create a logging, monitoring and profiling solution for your existing or new SSIS packages overcoming all usual problems that a typical solution brings: increasing package complexity, longer development times and so on. The session will propose a standard, out-of-the-box solution for all of these challenges.
Discover how to build a real world SSIS package. Learn how to set up a package configuration, Manipulate package variables. Process multiple files and capture errors. Learn some workarounds for SSIS limitations (bugs).
Loading Partitions directly Consuming a package in SSRS Using a DM algorithm in the pipeline to see if the new customer meets criteria Fuzzy Grouping for deduplicating
  1 to 25 of 25 first 1 last  Show 10 25 50 100 sessions per page