Course Description
Business intelligence (BI) is becoming increasingly important for companies of many different sizes and types because of the competitive edge it can help to give them. The combined capabilities of Microsoft SQL Server 2012 and Microsoft SharePoint 2010 make it easier than ever for companies to develop a BI solution that meets their specific needs, provides reduced total cost of ownership (TCO), and achieves a faster time to solution.
Agenda
This five-day instructor-led course teaches students how to empower information workers through self-service analytics and reporting. Students will learn how to implement multidimensional analysis solutions, create PowerPivot and tabular data models, deliver rich data visualizations with PowerView and SQL Server Reporting Services, and discover business insights by using data mining. This course helps people prepare for exam 70-446.
This course is intended for database professionals who need to fulfill a Business Intelligence Developer role to create analysis and reporting solutions. Primary responsibilities include:
Implementing reporting solutions by using SQL Server Reporting Services. Implementing multidimensional databases by using SQL Server Analysis Services. Creating tabular semantic data models for analysis by using SQL Server Analysis Services. Create visualizations of data by using PowerView. Create data mining solutions by using SQL Server Analysis Services. At Course Completion
After completing this course, students will be able to:
Describe the components, architecture, and nature of a BI solution. Create reports with Reporting Services. Create reusable report items that simplify self-service reporting. Manage report execution and delivery. Create a multidimensional database with Analysis Services. Implement dimensions in a cube. Implement measures and measure groups in a cube. Use MDX Syntax. Customize a cube. Implement a Tabular Data Model in PowerPivot. Use DAX to query a tabular model. Implement a Tabular Database. Use PowerView to create interactive data visualizations. Use Data Mining for Predictive Analysis. Prerequisites
Beforeattending this course, the student should have:
At least 2 years experience of working with relational databases, including: Designing a normalized database. Creating tables and relationships. Querying with Transact-SQL. Some basic knowledge of data warehouse schema topology (including star and snowflake schemas). Some exposure to basic programming constructs (such as looping and branching). An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable. Course Outline
Module 1: Introduction to BusinessIntelligence and Data Modeling
This moduleprovides an introduction to Business (BI) Intelligence. It describes common BIscenarios, current trends in BI, and the typical roles that are involved increating a BI solution. It also introduces the Microsoft BI platform anddescribes the roles Microsoft SQL Server 2012 and Microsoft SharePoint 2010play in Microsoft BI solutions.
Lessons
Introduction to Business Intelligence The Microsoft Business Intelligence Platform Lab: Reporting and Analyzing Data
Exploring a Reporting Services Repot Exploring a PowerPivot Workbook Exploring a Power View Report After completing this module, studentswill be able to:
Describe common BI scenarios and current BI trends. Describe the main technologies that make up the Microsoft BI platform. Module 2: Implementing Reports with SQLServer Reporting Services
This modulediscusses the tools and techniques a professional business intelligencedeveloper can use to create and publish reports with SQL Server ReportingServices.
Lessons
Introduction to Reporting Services Creating a Report with Report Designer Grouping and Aggregating Data in a Report Showing Data Graphically Filtering Reports by Using Parameters Publishing and Viewing a Report Lab: Creating a Report with ReportDesigner
Creating a Report Grouping and Aggregating Data Lab: Enhancing and Publishing a Report
Adding a Chart to a Report Adding Parameters to a Report Publishing a Report After completing this module, studentswill be able to:
Describe the key features of Reporting Services. Use Report Designer to create a report. Group and aggregate data in a report. Use charts and other visualizations to show data graphically in a report. Use parameters to filter data in a report. Publish and view a report. Module 3: Supporting Self ServiceReporting
This moduledescribes Microsoft SQL Server Reporting Services features that you can use toenable self-service reporting.
Lessons
Introduction to Self Service Reporting Shared Data Sources and Datasets Report Parts Lab: Implementing Self Service Reporting
Using Report Builder Simplifying Data Access for Business Users Using Report Parts After completing this module, studentswill be able to:
Support self-service reporting with Report Builder. Create shared data sources and datasets for self-service reporting scenarios. Use report parts as reusable report elements. Module 4: Managing Report Execution andDelivery
This moduledescribes how to apply security settings and configure reports for delivery.
Lessons
Managing Report Security Managing Report Execution Subscriptions and Data Alert Troubleshooting Reporting Services Lab: Configuring Report Execution andDelivery
Configuring Report Execution Implementing a Standard Subscription Implementing a Data-Driven Subscription After completing this module, studentswill be able to:
Configure security settings for a report server. Configure report execution settings to optimize performance. Use subscriptions and alerts to automate report and data delivery. Troubleshoot reporting issues. Module 5: Creating MultidimensionalDatabases
Thefundamental purpose of using SQL Server Analysis Services online analyticalprocessing (OLAP) solutions is to build cubes that you can use to performcomplex queries and return the results in a reasonable time. This moduleprovides an introduction to multidimensional databases and introduces the corecomponents of an OLAP cube.
Lessons
Introduction to Multidimensional Analysis Creating Data Sources and Data Source Views Creating a Cube Overview of Cube Security Lab: Creating a Multidimensional Database
Creating a Data Source Creating and Modifying a Data Source View Creating and Modifying a Cube After completing this module, studentswill be able to:
Describe the considerations for a multidimensional database. Create data sources and data source views. Create a cube. Implement security in a multidimensional database. Module 6: Working with Dimensions
In SQL ServerAnalysis Services, dimensions are a fundamental component of cubes. This moduleprovides an insight into the creation and configuration of dimensions anddimension hierarchies.
Lessons
Configuring Dimensions Defining Attribute Hierarchies Sorting and Grouping Attributes Lab: Defining Dimensions
Configuring Dimensions Defining Relationships and Hierarchies Sorting and Grouping Dimensions Attributes After completing this module, studentswill be able to:
Configure dimensions. Define attribute hierarchies. Sort and group attributes. Module 7: Working with Measures and MeasureGroups
A measurerepresents a column that contains quantifiable data, usually numeric, that youcan aggregate. This module describes measures and measure groups. The modulealso explains how you can use measures to define fact tables and associatedimensions.
Lessons
Working with Measures Working with Measure Groups Lab: Configuring Measures and MeasureGroups
Configuring Measures Defining Dimension Usage and Relationships Configuring Measure Group Storage After completing this module, studentswill be able to:
Describe measures. Describe measure groups. Module 8: Introduction to MDX
MultidimensionalExpressions (MDX) is the query language that you use to work with and retrievemultidimensional data in SQL Server Analysis Services. This module describesthe fundamentals of MDX. It also explains how to build calculations, such ascalculated members and named sets.
Lessons
MDX Fundamentals Adding Calculations to a Cube Using MDX to Query a Cube Lab: Using MDX
Querying a Cube by Using MDX Creating a Calculated Member After completing this module, studentswill be able to:
Describe MDX. Add calculations to a cube. Describe how to use MDX in client applications. Module 9: Customizing Cube Functionality
In thismodule, you will learn how to customize cube functionality by using severaltechnologies available to you in SQL Server Analysis Services. These technologycustomizations include: Key Performance Indicators, Actions, Perspectives, andTranslations.
Lessons
Working with Key Performance Indicators Working with Actions Working with Perspectives Working with Translations Lab: Customizing a Cube
Implementing an Action Implementing a Perspective Implementing a Translation After completing this module, studentswill be able to:
Describe Key Performance Indicators. Implement Actions. Explain Perspectives. Describe Translations. Module 10: Implementing a Tabular DataModel with Microsoft PowerPivot
This moduleintroduces tabular data models, explains how to install and use the PowerPivotfor Excel add-in, and describes how to share a workbook to PowerPivot Gallery.
Lessons
Introduction to Tabular Data Models and PowerPivot Technologies Creating a Tabular Data Model by Using PowerPivot for Excel Sharing a PowerPivot Workbook and Using PowerPivot Gallery Lab: Using PowerPivot for Excel
Creating a Tabular Data Model by Using PowerPivot for Excel Using a Tabular Data Model in Excel Sharing a PowerPivot Workbook to PowerPivot Gallery Using a PowerPivot Workbook as a Data Source After completing this module, studentswill be able to:
Describe the key features and benefits of tabular data models and PowerPivot technologies. Create a PowerPivot for Excel workbook. Share a PowerPivot for Excel workbook to PowerPivot Gallery and use a PowerPivot for Excel workbook as a data source. Module 11: Introduction to DAX
This modulecovers the fundamentals of the DAX language. It also explains how you can useDAX to create calculated columns and measures, and how you can use these inyour tabular data models.
Lessons
DAX Fundamentals Using DAX to Create Calculated Column and Measures in a Tabular Data Model Lab: Creating Calculated Columns andMeasures by Using DAX
Creating Calculated Columns Creating Measures Using Time Intelligence Creating a Dynamic Measure After completing this module, studentswill be able to:
Describe the fundamentals of DAX. Use DAX to create calculated columns and measures. Module 12: Implementing an AnalysisServices Tabular Data Model
With SQLServer 2012, you can install Analysis Services in Tabular mode and createtabular data models that information workers can access by using tools such asExcel and Power View. This module describes Analysis Services tabular datamodels and explains how to develop a tabular data model by using the SQL ServerData Tools.
Lessons
Introduction to Analysis Services Tabular Data Model Projects Developing an Analysis Services Tabular Data Model in SQL Server Data Tools Lab: Working with an Analysis ServicesTabular Data Model
Creating an Analysis Data Services Tabular Data Model from a PowerPivot Workbook Implementing a Perspective Implementing Partitions Deploying an Analysis Services Tabular Data Model Enabling Access to a Tabular Data Model Configuring DirectQuery Storage Model Implementing Security in a Tabular Data Model After completing this module, studentswill be able to:
Describe Analysis Services tabular data model Projects. Implement an Analysis Services tabular data model by Using SQL Server Data Tools. Module 13: Creating Data Visualizationswith Power View
SQL Server2012 introduces Power View, a SharePoint-based data exploration tool thatprovides a way for information workers to interactively create datavisualizations that help them to better understand the data that they areworking with. This module introduces Power View and describes how you can useit to create a range of different types of reports quickly and easily.
Lessons
Introduction to Power View Visualizing Data with Power View Lab: Creating Data Visualizations withPower View
Modify the Tabular Data Model Create a Simple Power View Report Using Interactive Visualizations Create a Scatter Chart and a Play Axis After completing this module, studentswill be able to:
Describe the Power View and its place in the BI ecosystem. Create data visualizations by using Power View. Module 14: Performing Predictive Analysiswith Data Mining
SQL ServerAnalysis Services includes data mining tools that you can use to identifypatterns in your data, helping you to determine why particular things happenand to predict what will happen in the future. This module introduces datamining, describes how to create a data mining solution, how to validate datamining models, how to use the Data Mining Add-ins for Excel, and how toincorporate data mining results into Reporting Services reports.
Lessons
Overview of Data Mining Creating a Data Mining Solution Validating a Data Mining Solution Consuming a Data Mining Solution Lab: Using Data Mining to Support aMarketing Campaign
Using Table Analysis Tools Creating a Data Mining Model Using the Data Mining Add-in for Excel Validating Data Mining Models Using a Data Mining Model in a Report After completing this module, studentswill be able to:
Describe the key data mining concepts and use the Data Mining Add-ins for Excel. Create a Data Mining solution. Validate data mining models. Use data mining data in a report.