By Brian Larson
Implement a strong BI resolution with Microsoft SQL Server 2012
Equip your company for expert, well timed choice making utilizing the specialist counsel and top practices during this sensible consultant. Delivering enterprise Intelligence with Microsoft SQL Server 2012, 3rd Edition explains tips to successfully enhance, customise, and distribute significant info to clients enterprise-wide. easy methods to construct information marts and create BI Semantic types, paintings with the MDX and DAX languages, and proportion insights utilizing Microsoft shopper instruments. facts mining and forecasting also are coated during this accomplished resource.
- Understand the objectives and parts of winning BI
- Design, installation, and deal with information marts and OLAP cubes
- Load and cleanse information with SQL Server Integration prone
- Manipulate and learn facts utilizing MDX and DAX scripts and queries
- Work with SQL Server research companies and the BI Semantic version
- Author interactive experiences utilizing SQL Server info instruments
- Create KPIs and electronic dashboards
- Use facts mining to spot styles, correlations, and clusters
- Implement time-based analytics
- Embed BI stories in customized purposes utilizing ADOMD.NET
Read or Download Delivering Business Intelligence with Microsoft SQL Server 2012 PDF
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Extra resources for Delivering Business Intelligence with Microsoft SQL Server 2012
It also tracks information on any products returned by the customer. Information from each of the five POS systems is exported to an Extensible Markup Language (XML) file. This XML file is transferred nightly, using File Transfer Protocol (FTP) , to a central location. These XML files serve as the source for loading the POS data into the business intelligence systems. NET application. It uses SQL Server as its backend database. All sales through the online store are paid with a credit card. All customers of the online store must provide name, address, phone number, and e-mail address with each purchase.
This intermediate data store can then serve as the source for our measure calculations. We need to store the data so it is available for our business intelligence needs somewhere outside of our OLTP systems. When data is stored in this manner, it is referred to as a data mart. DEFINITION A data mart is a body of historical data in an electronic repository that does not participate in the daily operations of the organization. Instead, this data is used to create business intelligence. The data in the data mart usually applies to a specific area of the organization.
As in the example from the previous section, an anomaly in the information may cause us to want to look at the data in a slightly different way. The unusually low dollar amount for sales or services provided in a specific region led us to want detailed numbers within that region. In other cases, we know where to look, but it is not practical to search through all of the detailed information. Instead, we want to start at an upper level, find a number that looks interesting, and then drill to more detail.