Applied Microsoft Business Intelligence by Patrick LeBlanc

By Patrick LeBlanc

Utilized Microsoft enterprise Intelligence exhibits you the way to leverage the total set of Microsoft tools—including Microsoft workplace and SQL Server—to larger learn company information. This ebook presents top practices for construction entire BI suggestions utilizing the total Microsoft toolset. you'll how to successfully use SQL Server research and Reporting providers, in addition to Excel, SharePoint, and different instruments to supply potent and cohesive suggestions for the company. assurance contains BI structure, facts queries, semantic versions, multidimensional modeling, facts research and visualization, functionality tracking, information mining, and extra, that can assist you learn how to practice useful company research and reporting. Written via an writer crew that features a key member of the BI product group at Microsoft, this helpful reference offers specialist guide for greater use of the Microsoft BI toolset.

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During most projects, you don’t realize this until very late in the development process. However, when using SSAS, the implementation process is neither very difficult nor disruptive. Working with SQL Server Reporting Services Up to this point, all the data discussions have involved movement, transformation, and management of data. This section shifts to more data visualization and interactivity. Once the processes to implement the data warehouse and/or the semantic model are in place, your next decision is how the end users will access the data.

To ensure that the servers are protected in the event of a failure or disaster means implementing some type of High Availability (HA) or Disaster Recovery (DR) solution. You could use clustering for the domain controller and a mix of clustering an AlwaysOn for the SQL Server Analysis Server and the SQL Server Database Engine. Both clustering and AlwaysOn are technologies that provide HA and DR at server and database levels. Implementing this topology almost doubles the number of servers. Figure 2-5 represents a sample of an HA solution.

You must perform an exhaustive search-and-discovery process with as much involvement from any stakeholders that are willing to assist. You may host these sources within or outside an organization. Regardless of whether the data is internal or external, you should carefully perform discovery to ensure that you have included all relevant data in the project. This process often requires several iterations. During report development, someone may recognize that data is missing due to an oversight. As a result, you’ll need to modify the ETL process to include the new source.

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