By Brian Larson
Maximize the enterprise Intelligence instruments in Microsoft SQL Server 2008
Manage, examine, and distribute firm facts with support from this specialist source. Delivering enterprise Intelligence with Microsoft SQL Server 2008 covers the full BI lifecycle and explains the best way to construct strong facts integration, reporting, and research strategies. Real-world examples illustrate the entire robust BI functions of SQL Server 2008. this can be your one-stop consultant for remodeling disparate information into actionable perception for clients all through your organization.
- comprehend the targets and advantages of commercial intelligence
- Design and create relational info marts and OLAP cubes
- Manage research prone databases utilizing BI improvement Studio
- Cleanse info and populate info marts with SQL Server Integration Services
- reap the benefits of the flexibleness of the Unified Dimensional version
- Manipulate and learn facts utilizing MDX scripts and queries
- Use information mining to spot information styles, correlations, and clustering
- Develop and distribute interactive experiences with SQL Server 2008 Reporting Services
- Integrate company intelligence into company functions utilizing ADOMD.NET and the record Viewer Control
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Additional resources for Delivering Business Intelligence with Microsoft SQL Server 2008
It can provide that foundational and feedback information in a number of different ways. When We Know What We Are Looking For In some cases, we know what information we are looking for. We have a set of particular questions we want answered. What is the dollar amount of the sales or services our organization is providing in each region? Who are our top salespeople? In some of these situations, we not only know what we are looking for, but we also have a good idea where to find the information when we design the business intelligence solution.
This becomes important in fact tables with a potential for millions or even hundreds of millions of rows. In addition, a single fact table may contain multiple measures. This can occur when two or more measures use exactly the same dimensions. Putting a number of measures with the same dimensions in the same fact table is also a way to save on storage space required for the data mart. Attributes In some cases, we may want to store additional information about dimension members in our data mart.
We discuss KPIs in greater detail in Chapter 10 of this book. Higher Latency Because these upper-level decision makers are dealing in long-term policies and direction, they do not need up-to-the-minute business intelligence. Another way to state this is to say they can have more latency in their business intelligence. These decision makers need to see downward trends in time to make corrections. They do not need to see the daily blips in the organization’s operation. Definition The latency of business intelligence is the amount of time between the occurrence of a transaction and the loading of that transaction’s information into the business intelligence system.