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 show how to use DMVs (data management views) to query the OLAP cube structure, and then use SSRS to create a set of interactive reports including the BUS matrix, and using spatial data to generate automated star schemas.
SQL Server spatial features have not yet made it into mainstream usage and many developers still ask "But *why* would I use them?". In this session, I hope to answer that question by replicating the functionality of Google Maps using only SQL Server.
A data professionals introduction to spatial data concepts and how they are implemented in SQL Server
Corporate data is expensive to create, expensive to report. Adding free data sources and mapping can lift the simplest of reports to a stunning presentation.
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 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