Designing Business Intelligence Solutions with Microsoft SQL Server 2014

This five-day instructor-led course teaches students how to implement self-service Business Intelligence (BI) and Big Data analysis solutions using the Microsoft data platform. The course discusses the rationale for self-service BI, and describes how to use Microsoft SQL Server Reporting Services, Microsoft Excel, Microsoft SharePoint Server, and Microsoft Office 365 Power BI to create self-service data models and reports. The course then goes on to describe how to use Windows Azure HDInsight to perform Big Data analysis.

Note: This course is designed for customers who are interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features in SQL Server 2014, but also the important capabilities across the SQL Server data platform.

Module 1: Planning a BI SolutionModule

2: Planning BI InfrastructureModule

3: Designing a Data WarehouseModule

4: Designing an ETL solutionModule

5: Designing Analytical Data ModelsModule

6: Planning a BI Delivery SolutionModule

7: Designing a Reporting Services SolutionModule

8: Designing an Excel Based reporting SolutionModule

9: Planning a SharePoint Server BI SolutionModule

10: Monitoring and Optimizing a BI SolutionModule

11: Operating a BI Solution

The primary audience for this course is database and business intelligence (BI) professionals who are familiar with data warehouses and enterprise BI solutions built with SQL Server technologies. Experienced data analysts who want to learn how to use Microsoft technologies for self-service analysis and reporting will also benefit from attending this course.

Describe key features and benefits of self-service BI.

Use SQL Server Reporting Services to implement a self-service reporting solution.

Use PowerPivot, Power Query, Power View and Power Map in Microsoft Excel

Use Microsoft SharePoint Server to implement collaborative self-service BI solutions.

Provision and use a Windows Azure HDInsight cluster for Big Data analysis.

Use Pig and Hive to analyze big data in Windows Azure HDInsight.

Design and implement Big Data processes to support self-service BI.