Patrick LeBlanc's Applied Microsoft Business Intelligence PDF

By Patrick LeBlanc

ISBN-10: 1118961773

ISBN-13: 9781118961773

Utilized Microsoft company Intelligence exhibits you the way to leverage the full set of Microsoft tools—including Microsoft place of work and SQL Server—to greater study enterprise information. This publication offers top practices for development entire BI ideas utilizing the entire Microsoft toolset. you are going to find out how to successfully use SQL Server research and Reporting providers, besides Excel, SharePoint, and different instruments to supply potent and cohesive suggestions for the firm. insurance comprises BI structure, facts queries, semantic types, multidimensional modeling, facts research and visualization, functionality tracking, info mining, and extra, that will help you learn how to practice sensible enterprise research and reporting. Written by means of an writer group that features a key member of the BI product staff at Microsoft, this beneficial reference presents specialist guideline for greater use of the Microsoft BI toolset.

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When you compare it to designing reports using SSDT, the features and functionality are almost exactly the same. The difference is mainly in regard to team development and source control. A report designed in SSDT is included within a solution and a project. When designing reports with Report Builder, you can develop only a single report at a time. The concept of team collaboration is not introduced. Report Builder is a light-weight tool for people that need to quickly create and/or modify reports as needed.

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.

However, regardless of which model you select, the planning process is very similar across all three. Prior to building the model, you should consider the following; ■ Make a concerted effort to ensure that the data warehouse schema is almost 100 percent complete, including the data governance and load process. The model development could actually begin without the data; however, little can be done in regards to validating the code without data. ■ Ensure that the model requirements have been scoped.

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Applied Microsoft Business Intelligence by Patrick LeBlanc

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