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data warehousing
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Conference
SQLBits X
10
A Deep Dive in SQL Server 2012 Data Warehousing
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.
A heap of clusters
An in-depth dive into physical table structures
A lap around the SSIS Catalog
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.
Advanced Security with Analysis Services Multidimensional
This session will cover advanced security topics in the Analysis Services Multidimensional model.
Awesome new T-SQL candy in SQL Server 2012
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.
Business Intelligence with Excel 2010
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.
Loading Data Warehouse Dimensions in SSIS
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
SQL Server Indexes : The forgotten Fill-Factor
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.
Temporal Snapshot Fact Table
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.
TSQL Performance Tips
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?
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