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A whistlestop tour of SSIS add-ins Jamie Thomson
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.
Achieve SQL Server 2008 High Availability and Disaster Recovery - technical case study Satya Jayanty
Achieving application uptime of 99.99% is not an impossible task, can be accomplished if you apply right procedures at right time!
An introduction to Master Data Services Ian Marritt
Master Data Services is a new product due for release with SQL Server 2008 R2. This presentation will explain why you may want to use it and what it will help you achieve and some of the challenges you may face.
Building cubes from ODS or Operational Systems Vincent Rainardi
A step-by-step demo on BIDS of how to build an SSAS cube (DB) from an operational system (normalized database) such as Operational Data Store (ODS) or directly from the transactional business system, without building a star/snowflake schema Data Warehouse/Mart first.
Cache-warming strategies for Analysis Services 2008 Chris Webb
Learn how the Analysis Services cache works, and how you can pre-load it with data to ensure optimal query performance.
Common Integration Services Problems Allan Mitchell
Common Integration Services Problems and Solutions
Creating High Performance Spatial Databases Alastair Aitchison
So you heard about the new spatial functionality in SQL Server 2008, rushed back to your database and added geography and geometry columns to all your tables, eager to create the next Google Earth-beating application. You then click the Execute button and wait. And wait. And wait some more. (You get the idea). Spatial data is a rather unique beast, and designing efficient spatial queries requires specific techniques when compared to other, more traditional types of data. In this session, we look at how the SQL Server database engine satisfies spatial queries, the theory behind spatial indexes, demonstrate the effects of altering the bounding box, use the spatial system DMVs and stored procedures to your spatial database
Data & Backup Compression in SQL Server 2008 Andre Kamman
The new compression features built into the Enterprise Edition of SQL Server 2008 should use less disk space and, perhaps even more important, speed up your system because of reduced disk IO. In this session we will : Take a look behind the scenes to see how it works. Investigate what commands / tools we can use to set it up and maintain it. Look into some examples of my own day to day experience that I collected so far. I aim to give an overview of both data compression and backup compression AND some Lessons Learned.
Data Visualisation with Bing Maps for Enterprise Matt Feltham
Has the way you present your data become a bit bland? This session will take you through how combining your location based data on a map using Bing Maps for Enterprise(previously Virtual Earth) can add an interactive edge to the visualisation of your data.
Data Warehouse on a Fast Track forwards Anthony Howcroft
Explore the Fast Track Data Warehouse appliances from HP & Microsoft with case studies, implementation thoughts, and roadmap.
Data warehousing features in SQL 2008 James Rowland-Jones
Data warehousing features in SQL 2008
Designing for simplification Rob Farley
Allowing the query optimiser do its job of simplification is an important feature if any database design. In this session, Rob takes us through ways that a database design can leverage features of the query optimiser such as redundant joins and end up with a system the provides a much simpler querying environment.
Designing I/O systems for SQL Server Thomas Kejser
In this session we will take a deeper look at how SQL Server uses I/O and how you can design the I/O system to meet the requirements of your applications.
Excel - An Excellent Data Mining Tool Allan Mitchell
Using Excel as a Data Mining client is a very good move. Very visual and very easy to use.
Getting Dimensional with Data Chris Testa-O'Neill
This session will introduce you to the core components required to set up and create a cube in SQL Server Analysis services. consideration is given to SQL Server 2005 and SQL Server 2008 to be considered for Friday
I need my reports..........Yesterday! Chris Testa-O'Neill
Due to feedback from previous SQLBits conferences, this session will focus on the management of the reports and report server once the reports have been created to be considered for Friday
Introducing Project Madison Thomas Kejser
In this presentation, I will introduce the Madison architecture and provide a roadmap with major milestones for this product
Introducing SQL Server Master Data Services Donald Farmer
An introduction to SQL Server Master Data Services
Introduction of MS StreamInsight Rob Farley
StreamInsight is Microsoft's technology for Stream Data Processing and Complex Event Processing (CEP). In this session you will get an overview of what CEP is, what problems it tries to solve and how StreamInsight tries to do it.
Introduction to the Microsoft BI Technology Stack Dr John Tunnicliffe
John will introduce you to Analysis Services 2008, demonstrate browsing cubes with Excel 2007, deploying dashboards in SharePoint built using Excel Services and demonstrate how PerformancePoint Services can add the glitz to your BI project.
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