Course 10778A:
Implementing Data Models and Reports with Microsoft SQL Server 2012
Co ur se Out line
M o d ule 1: Int r o d uct io n t o Business Int ellig ence and Dat a M o d eling
This module provides an introduction to Business (BI) Intelligence. It describes common BI
scenarios, current trends in BI, and the typical roles that are involved in creating a BI solution. It also introduces the Microsoft BI platform and describes the roles Microsoft SQL Server 2012 and Microsoft SharePoint 2010 play in Microsoft BI solutions.
Lesso ns
Introduction to Business Intelligence
The Microsoft Business Intelligence Platform
Lab : Rep o r t ing and Analyzing Dat a Exploring a Reporting Services Repot Exploring a PowerPivot Workbook Exploring a Power View Report
After completing this module, students will be able to:
Describe common BI scenarios and current BI trends.
Describe the main technologies that make up the Microsoft BI platform.
M o d ule 2: Imp lement ing Rep o r t s wit h SQL Ser ver Rep o r t ing Ser vices
This module discusses the tools and techniques a professional business intelligence developer can use to create and publish reports with SQL Server Reporting Services.
Lesso ns
Introduction to Reporting Services Creating a Report with Report Designer Grouping and Aggregating Data in a Report Showing Data Graphically
Course Det ails
20466D
Implementing Data Models and Reports with Microsoft SQL Server 2014
Module 1: Introduction to Business Intelligence and Data Modeling Lesson
• Elements of an Enterprise BI Solution
• The Microsoft Enterprise BI Platform
• Planning an Enterprise BI Project Lab: Exploring a BI Solution
• Module Review and Takeaways
Module 2: Crea ng Mul dimensional Databases Lesson
• Introduction to Multidimensional Analysis
• Creating Data Sources and Data Source Views
• Creating a Cube
• Overview of Cube Security
Lab: Creating a Multidimensional Database
• Module Review and Takeaways
Module 3: Working with Cubes and Dimensions Lesson
• Configuring Dimensions
• Defining Attribute Hierarchies
• Sorting and Grouping Attributes Lab: Defining Dimensions
• Module Review and Takeaways
Module 4: Working with Measures and Measure Groups Lesson
• Working with Measures
• Working with Measure Groups
Lab: Configuring Measures and Measure Groups
• Module Review and Takeaways
Filtering Reports by Using Parameters Publishing and Viewing a Report
Lab : Cr eat ing a Rep o r t wit h Rep o r t Desig ner Creating a Report
Grouping and Aggregating Data
Lab : Enhancing and Pub lishing a Rep o r t Adding a Chart to a Report
Adding Parameters to a Report Publishing a Report
After completing this module, students will 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.
M o d ule 3: Sup p o r t ing Self Ser vice Rep o r t ing
This module describes Microsoft SQL Server Reporting Services features that you can use to enable self-service reporting.
Lesso ns
Introduction to Self Service Reporting Shared Data Sources and Datasets Report Parts
Lab : Imp lement ing Self Ser vice Rep o r t ing Using Report Builder
Simplifying Data Access for Business Users Using Report Parts
After completing this module, students will be able to:
Support self-service reporting with Report Builder.
Create shared data sources and datasets for self-service reporting scenarios.
Module 5: Introduction to MDX Lesson
• MDX Fundamentals
• Adding Calculations to a Cube
• Using MDX to Query a Cube Lab: Using MDX
• Module Review and Takeaways
Module 6: Enhancing a Cube Lesson
• Working with Key Performance Indicators
• Working with Actions
• Working with Perspectives
• Working with Translations Lab: Customizing a Cube
• Module Review and Takeaways
Module 7: Implementing an Analysis Services Tabular Data Model Lesson
• Introduction to Analysis Services Tabular Data Models
• Creating a Tabular Data Model
• Using an Analysis Services Tabular Data Model in the Enterprise Lab: Implementing an Analysis Services Tabular Data Model
• Module Review and Takeaways
Module 8: Introduction to DAX Lesson
• DAX Fundamentals
• Enhancing a Tabular Data Model with DAX Lab: Using DAX to Enhance a Tabular Data Model
• Module Review and Takeaways
• Implementing Data Models and Reports with Microsoft SQL Server xv
Use report parts as reusable report elements.
M o d ule 4: M anag ing Rep o r t Execut io n and Deliver y
This module describes how to apply security settings and configure reports for delivery.
Lesso ns
Managing Report Security Managing Report Execution Subscriptions and Data Alert
Troubleshooting Reporting Services
Lab : Co nfi g ur ing Rep o r t Execut io n and Deliver y Configuring Report Execution
Implementing a Standard Subscription Implementing a Data-Driven Subscription
After completing this module, students will 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.
M o d ule 5: Cr eat ing M ult id imensio nal Dat ab ases
The fundamental purpose of using SQL Server Analysis Services online analytical processing (OLAP) solutions is to build cubes that you can use to perform complex queries and return the results in a reasonable time. This module provides an introduction to multidimensional databases and
introduces the core components of an OLAP cube.
Lesso ns
Introduction to Multidimensional Analysis Creating Data Sources and Data Source Views Creating a Cube
Overview of Cube Security
Lab : Cr eat ing a M ult id imensio nal Dat ab ase Creating a Data Source
Creating and Modifying a Data Source View
Module 9: Implementing Reports with SQL Server Repor ng Services Lesson
• Introduction to Reporting Services
• Creating a Report with Report Designer
• Grouping and Aggregating Data in a Report
• Publishing and Viewing a Report Lab: Creating a Report with Report Designer
• Module Review and Takeaways
Module 10: Enhancing Reports with SQL Server Repor ng Services Lesson
• Showing Data Graphically
• Filtering Reports by Using Parameters Lab: Enhancing a Report
• Module Review and Takeaways
Module 11: Managing Report Execu on and Delivery Lesson
• Managing Report Security
• Managing Report Execution
• Subscriptions and Data Alerts
• Troubleshooting Reporting Services Lab: Configuring Report Execution and Delivery
• Module Review and Takeaways
Module 12: Delivering BI with SharePoint PerformancePoint Services Lesson
• Introduction to SharePoint Server as a BI Platform
• Introduction to PerformancePoint Services
• PerformancePoint Data Sources and Time Intelligence
• Reports, Scorecards, and Dashboards
Lab: Implementing a SharePoint Server BI Solution
• Module Review and Takeaways
Creating and Modifying a Cube
After completing this module, students will 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.
M o d ule 6: Wo r king wit h Dimensio ns
In SQL Server Analysis Services, dimensions are a fundamental component of cubes. This module provides an insight into the creation and configuration of dimensions and dimension hierarchies.
Lesso ns
Configuring Dimensions Defining Attribute Hierarchies Sorting and Grouping Attributes
Lab : Defi ning Dimensio ns Configuring Dimensions
Defining Relationships and Hierarchies Sorting and Grouping Dimensions Attributes
After completing this module, students will be able to:
Configure dimensions.
Define attribute hierarchies.
Sort and group attributes.
M o d ule 7: Wo r king wit h M easur es and M easur e Gr o up s
A measure represents a column that contains quantifiable data, usually numeric, that you can aggregate. This module describes measures and measure groups. The module also explains how you can use measures to define fact tables and associate dimensions.
Lesso ns
Working with Measures Working with Measure Groups
Lab : Co nfi g ur ing M easur es and M easur e Gr o up s Configuring Measures
Module 13: Performing Predic ve Analysis with Data Mining Lesson
• Overview of Data Mining
• Creating a Data Mining Solution
• Validating a Data Mining Model
• Consuming Data Mining Data
Lab: Using Data Mining to Support a Marketing Campaign
Defining Dimension Usage and Relationships Configuring Measure Group Storage
After completing this module, students will be able to:
Describe measures.
Describe measure groups.
M o d ule 8: Int r o d uct io n t o M DX
Multidimensional Expressions (MDX) is the query language that you use to work with and retrieve multidimensional data in SQL Server Analysis Services. This module describes the fundamentals of MDX. It also explains how to build calculations, such as calculated members and named sets.
Lesso ns
MDX Fundamentals
Adding Calculations to a Cube Using MDX to Query a Cube
Lab : Using M DX
Querying a Cube by Using MDX Creating a Calculated Member
After completing this module, students will be able to:
Describe MDX.
Add calculations to a cube.
Describe how to use MDX in client applications.
M o d ule 9: Cust o mizing Cub e Funct io nalit y
In this module, you will learn how to customize cube functionality by using several technologies available to you in SQL Server Analysis Services. These technology customizations include: Key Performance Indicators, Actions, Perspectives, and Translations.
Lesso ns
Working with Key Performance Indicators Working with Actions
Working with Perspectives Working with Translations
Lab : Cust o mizing a Cub e Implementing an Action
Implementing a Perspective Implementing a Translation
After completing this module, students will be able to:
Describe Key Performance Indicators.
Implement Actions.
Explain Perspectives.
Describe Translations.
M o d ule 10: Im p lement ing a Tab ular Dat a M o d el wit h M icr o so f t Po wer Pivo t
This module introduces tabular data models, explains how to install and use the PowerPivot for Excel add-in, and describes how to share a workbook to PowerPivot Gallery.
Lesso ns
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 Po wer Pivo t f o r 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, students will 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.
M o d ule 11: Int r o d uct io n t o DAX
This module covers the fundamentals of the DAX language. It also explains how you can use DAX to create calculated columns and measures, and how you can use these in your tabular data models.
Lesso ns
DAX Fundamentals
Using DAX to Create Calculated Column and Measures in a Tabular Data Model
Lab : Cr eat ing Calculat ed Co lumns and M easur es b y Using DAX Creating Calculated Columns
Creating Measures Using Time Intelligence Creating a Dynamic Measure
After completing this module, students will be able to:
Describe the fundamentals of DAX.
Use DAX to create calculated columns and measures.
M o d ule 12: Im p lement ing an Analysis Ser vices Tab ular Dat a M o d el
With SQL Server 2012, you can install Analysis Services in Tabular mode and create tabular data models that information workers can access by using tools such as Excel and Power View. This module describes Analysis Services tabular data models and explains how to develop a tabular data model by using the SQL Server Data Tools.
Lesso ns
Introduction to Analysis Services Tabular Data Model Projects
Developing an Analysis Services Tabular Data Model in SQL Server Data Tools
Lab : Wo r king wit h an Analysis Ser vices Tab ular Dat a M o d el
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, students will be able to:
Describe Analysis Services tabular data model Projects.
Implement an Analysis Services tabular data model by Using SQL Server Data Tools.
M o d ule 13: Cr eat ing Dat a Visualizat io ns wit h Po wer View
SQL Server 2012 introduces Power View, a SharePoint-based data exploration tool that provides a way for information workers to interactively create data visualizations that help them to better understand the data that they are working with. This module introduces Power View and describes
how you can use it to create a range of different types of reports quickly and easily.
Lesso ns
Introduction to Power View Visualizing Data with Power View
Lab : Cr eat ing Dat a Visualizat io ns wit h Po wer 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, students will be able to:
Describe the Power View and its place in the BI ecosystem.
Create data visualizations by using Power View.
M o d ule 14: Per f o r ming Pr ed ict ive Analysis wit h Dat a M ining
SQL Server Analysis Services includes data mining tools that you can use to identify patterns in your data, helping you to determine why particular things happen and to predict what will happen in the future. This module introduces data mining, describes how to create a data mining solution, how to validate data mining models, how to use the Data Mining Add-ins for Excel, and how to incorporate data mining results into Reporting Services reports.
Lesso ns
Overview of Data Mining
Creating a Data Mining Solution Validating a Data Mining Solution Consuming a Data Mining Solution
Lab : Using Dat a M ining t o Sup p o r t a M ar ket ing Camp aig n 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, students will 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.