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1 Course 20467A: Designing Business Intelligence Solutions with Microsoft SQL Server 2012 Length: 5 Days Published: December 21, 2012 Language(s): English Audience(s): IT Professionals Overview Level: 300 Technology: Microsoft SQL Server 2012 Type: Course Delivery Method: Instructor led (classroom) About this Course This five day instructor led course teaches students how to design and implement a BI infrastructure. The course discusses design, installation. the course discusses design, installation, and maintenance of a BI platform. This course maps to skills and knowledge measured by Microsoft Exam , and in conjunction with on the job experience, can help prepare you for the exam. Note: The Beta version of this course (20467AB) utilizes pre release software in the virtual machine for the labs. Microsoft SQL Server 2012 SP1 CTP4, Microsoft SharePoint Server 2013 Preview, Microsoft Office 2013 Preview, and Microsoft Visio 2013 Preview are used in this course. Audience Profile This course is intended for BI professionals such as BI Architects or database professionals who need to design BI solutions. BI Architects are responsible for the overall design of the BI infrastructure, including how it relates to other data systems in use. In addition, their responsibilities include Online Analytical Processing (OLAP) cube design and integration with Microsoft SharePoint or line of business applications. Finally, they may apply those skills in a Windows Azure SQL Server database environment. At Course Completion After completing this course, students will be able to: Plan the components of a BI solution. Plan a BI infrastructure. Design a data warehouse. Design an ETL solution. Plan analytical data models. Plan a BI delivery solution.

2 Design a Reporting Services solution. Design an Excel reporting solution. Plan a SharePoint Server BI solution. Monitor and optimize a BI solution. Plan for BI operations. Prerequisites Before attending this course, students must have: A basic understanding of dimensional modeling (star schema) for data warehouses. The ability to create Integration Services packages that include control flows and data flows. The ability to create a basic multidimensional cube with Analysis Services. The ability to create a basic tabular model with PowerPivot and Analysis Services. The ability to create Reporting Services reports with Report Designer. The ability to implement authentication and permissions in the SQL Server database engine, Analysis Services, and Reporting Services. Familiarity with SharePoint Server and Microsoft Office applications, particularly Excel. Students who attend this training can meet the prerequisites by attending the following courses, or obtaining equivalent knowledge and skills: 10777A: Implementing a Data Warehouse with Microsoft SQL Server A: Implementing Data Models and Reports with Microsoft SQL Server 2012 Course Outline Module 1: Planning a BI Solution This modules discusses how to plan the components of a BI solution. Elements of a BI Solution Planning a BI Project The Microsoft BI Platform Lab: Planning a BI Solution Exercise 1: Scoping a BI Solution. Exercise 2: Reviewing a Suggested Solution Describe elements of a BI Solution.

3 Describe considerations for a BI project. Describe how Microsoft products can be used to implement a BI solution. Module 2: Planning a BI Infrastructure This modules explains how to plan an appropriate BI infrastructure for a given set of BI services. Planning a Data Warehouse Infrastructure Planning an ETL Infrastructure Planning Analysis Services Infrastructure Planning Reporting Services Infrastructure Lab: Planning a BI Infrastructure Exercise 1: Determining Required Servers Exercise 2: Determining Data Warehouse Server Hardware Requirements Exercise 3: Reviewing a Suggested Solution Plan a data warehouse infrastructure Plan an ETL infrastructure Plan Analysis Services infrastructure Plan Reporting Services infrastructure Module 3: Designing a Data Warehouse This module explain how to design a data warehouse for a given set of user requirements. Designing a Logical Schema Designing a Physical Schema Lab: Designing a Data Warehouse Logical Schema Exercise 1: Identifying Required Dimensions Exercise 2: Identifying Measures and Hierarchies Exercise 3: Designing a Data Warehouse Schema Exercise 4: Reviewing a Suggested Solution Lab: Designing a Data Warehouse Physical Schema Exercise 1: Planning Database Storage

4 Exercise 2: Designing Partitioning Exercise 3: Designing Indexes Exercise 4: Reviewing a Suggested Solution Select a data modeling approach. Design a physical data warehouse schema Module 4: Designing an ETL Solution This module explains how to design an ETL solution for a data warehouse. Planning for Data Extraction Planning for Data Transformation Planning for Data Loading Planning for SSIS Package Deployment Lab: Designing an ETL Solution Exercise 1: Reviewing Data Sources Exercise 2: Creating Source to Target Maps Exercise 3: Planning ETL Processes Exercise 4: Reviewing a Suggested Solution Plan data extraction in an ETL solution. Plan data transformation in an ETL solution. Plan data loading in an ETL solution. Plan SSIS package deployment Module 5: Designing Analytical Data Models This module explains how to design analytical data models for specific BI scenarios. Options for Analytical Models Data Model Design Considerations Lab: Comparing Analytical Data Models Exercise 1: Creating a Multidimensional Model

5 Exercise 2: Creating a Tabular Model Lab: Designing Data Models Exercise 1: Designing Dimension Attributes Exercise 2: Designing Data Model Aggregations and Storage Exercise 3: Reviewing a Suggested Solution Describe options for analytical models. Describe considerations for cube design. Module 6: Planning a BI Delivery Solution This module explains how to choose an appropriate delivery solution for a given scenario. Considerations for BI Delivery Choosing a Delivery Approach Lab: Planning a BI Delivery Solution Exercise 1: Assessing Reporting Requirements Describe considerations for planning a BI delivery solution. Choose an appropriate technique for a given scenario. Module 7: Designing a Reporting Services Solution This module explains how to design a Reporting Services solution. Designing Reports Considerations for Report Execution Planning a Reporting Solution Lab: Designing a Reporting Services Solution Exercise 1: Planning a Reporting Services Solution Exercise 2: Planning a Report Delivery Environment Exercise 3: Configuring Report Execution

6 Plan a reporting solution. Describe considerations for report data. Describe considerations for report execution. Module 8: Designing an Excel Based Reporting Solution This module explains how to design a reporting solution that uses Excel. Using Excel for Data Reporting and Analysis PowerPivot in Excel Power View in Excel Lab: Designing an Excel Reporting Solution Exercise 1: Planning Excel Features Exercise 2: Analyzing a Cube with Excel Exercise 3: Using PowerPivot Exercise 4: Using Power View Use Excel to analyze data. Use PowerPivot to analyze data. Use Power View to analyze data. Module 9: Planning a SharePoint Server BI Solution This module explains how to design a SharePoint BI solution. Introduction to SharePoint Server as a BI Platform Planning Security for a SharePoint Server BI Solution Planning Reporting Services Configuration Planning PowerPivot Configuration Planning for PerformancePoint Services Lab: Planning a SharePoint Server BI Solution Exercise 1: Planning SharePoint Server Security Exercise 2: Configuring Reporting Services in SharePoint Server

7 Exercise 3: Managing PowerPivot Data Refresh Exercise 4: Reviewing PowerPivot Activity Exercise 5 (Optional) Creating a PerformancePoint Dashboard Describe key considerations for using SharePoint for BI Describe key considerations for security when using SharePoint for BI Plan the deployment and configuration of Reporting Services in SharePoint Integration Mode Plan the deployment and configuration of PowerPivot Plan PerformancePoint Services in a SharePoint site Module 10: Monitoring and Optimizing a BI Solution This module explains how to monitor and optimize a BI solution. Overview of BI Monitoring Monitoring and Optimizing the Data Warehouse Monitoring and Optimizing Analysis Services Monitoring and Optimizing Reporting Services Lab: Monitoring and Optimizing a BI Solution Exercise 1: Monitoring and Optimizing a Data Warehouse Exercise 2: Troubleshooting Analysis Services Queries Exercise 3: Monitoring and Optimizing Reporting Services Plan BI monitoring. Plan data warehouse monitoring and optimization. Plan Analysis Services monitoring and optimization. Plan Reporting Services monitoring and optimization Module 11: Planning BI Operations This module explains how to plan management and maintenance operations for a BI solution. Overview of BI Operations Automating ETL Tasks Post ETL Tasks

8 Planning a Backup Strategy for a BI Solution Lab: Planning BI Operations Exercise 1: Planning ETL and Processing Tasks Exercise 2: Planning a Backup Strategy Plan BI operations. Plan ETL operations. Plan post ETL tasks. Plan backup for a BI solution.