Implementing Data Models and Reports with Microsoft SQL Server - 20466 Course Outline
The focus of this five-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement multidimensional and tabular data models, deliver reports with Microsoft SQL Server Reporting Services, create dashboards with Microsoft SharePoint Server PerformancePoint Services, and discover business insights by using data mining.
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.
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 analytical data models, such as OLAP cubes.
Implementing reports, and managing report delivery.
Creating business performance dashboards.
Supporting data mining and predictive analysis.
This course requires that you meet the following prerequisites:
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.
At Course Completion
After completing this course, students will be able to:
Describe the components, architecture, and nature of a BI solution.
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 SQL Server Analysis Services.
Use DAX to enhance a tabular model.
Create reports with Reporting Services.
Enhance reports with charts and parameters.
Manage report execution and delivery.
Implement a dashboard in SharePoint Server with PerformancePoint Services.
Use Data Mining for Predictive Analysis.
Module 1: Introduction to Business Intelligence and Data Modeling
As a SQL Server database professional, you may be required to participate in, or perhaps even lead, a project with the aim of implementing an effective enterprise BI solution. Therefore, it is important that you have a good understanding of the various elements that comprise a BI solution, the business and IT personnel typically involved in a BI project, and the Microsoft products that you can use to implement the solution.
Elements of an Enterprise BI Solution
The Microsoft Enterprise BI Platform
Planning an Enterprise BI Project
Lab : Exploring a BI Solution
Exploring the Data Warehouse
Exploring the Analysis Services Data Model
Module 2: Creating Multidimensional Databases
This module provides an introduction to multidimensional databases and introduces the core components of an Online Analytical Processing (OLAP) cube.
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
Adding a Dimension
Module 3: Working with Cubes and Dimensions
This module describes how to create and configure dimensions and dimension hierarchies in an Analysis Services multidimensional data model.
Defining Attribute Hierarchies
Sorting and Grouping Hierarchies
Lab : Defining Dimensions
Configuring Dimensions and Attributes
Creating a Hierarchy with Attribute Relationships
Creating a Ragged Hierarchy
Browsing Dimensions and Hierarchies in a Cube
Module 4: Working with Measures and Measure Groups
This module describes measures and measure groups. It also explains how you can use them to define fact tables and associate dimensions with measures.
Working with Measures
Working with Measure Groups
Lab : Configuring Measures and Measure Groups
Defining a Regular Relationship
Configuring Measure Group Storage
Module 5: Introduction to MDX
This module describes the fundamentals of MDX and explains how to build calculations, such as calculated members and named sets.
Adding Calculations to a Cube
Using MDX to Query a Cube
Lab : Using MDX
Creating Calculated Members
Querying a Cube by Using MDX
Module 6: Enhancing a Cube
This module describes how to enhance a cube with Key Performance Indicators (KPIs), actions, perspectives, and translations.
Working with Key Performance Indicators
Working with Actions
Working with Perspectives
Working with Translations
Lab : Customizing a Cube
Implementing an Action
Implementing a Translation
Module 7: Implementing an Analysis Services Tabular Data Model
This module describes Analysis Services tabular data models and explains how to develop a tabular data model using the SQL Server Data Tools for Business Intelligence (BI) add-in for Visual Studio.
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
Creating an Analysis Services Tabular Data Model Project
Configuring Columns and Relationships
Deploying an Analysis Services Tabular Data Model
Module 8: Introduction to DAX
This module explains 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 them in your tabular data models.
Enhancing a Tabular Data Model with DAX
Lab : Using DAX to Enhance a Tabular Data Model
Creating Calculated Columns
Creating a KPI
Implementing a Parent-Child Hierarchy
Module 9: Implementing Reports with SQL Server Reporting Services
This module introduces Microsoft SQL Server Reporting Services and discusses the tools and techniques that a professional BI developer can use to create and publish reports.
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
Creating a Report
Grouping and Aggregating Data
Publishing a Report
Module 10: Enhancing Reports with SQL Server Reporting Services
This module describes how to enhance a SQL Server reporting Services report with charts and other visualizations, and how to use parameters to filter data in a report.
Showing Data Graphically
Filtering Reports by Using Parameters
Lab : Enhancing a Report
Adding a Chart to a Report
Adding Parameters to a Report
Using Data Bars and Sparklines
Using a Map
Module 11: Managing Report Execution and Delivery
This module describes how to apply security and report execution settings, and how to create subscriptions to deliver reports.
Managing Report Security
Managing Report Execution
Subscriptions and Data Alerts
Troubleshooting Reporting Services
Lab : Configuring Report Execution and Delivery
Configuring Report Execution
Implementing a Standard Subscription
Implementing a Data-Driven Subscription
Module 12: Delivering BI with SharePoint PerformancePoint Services
This module introduces Microsoft SharePoint Server as a platform for BI, and then focuses on building BI dashboards and scorecards with PerformancePoint Services.
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
Creating a SharePoint Server Site for BI
Configuring PerformancePoint Data Access
Creating PerformancePoint Reports
Creating a PerformancePoint Scorecard
Creating a PerformancePoint Dashboard
Module 13: Performing Predictive Analysis with Data Mining
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 Microsoft Excel, and how to incorporate data mining results into Reporting Services reports.
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
Using Table Analysis Tools
Creating a Data Mining Structure
Adding a Data Mining Model to a Data Mining Structure
Validating a Data Mining Model
Using a Data Mining Model in a Report
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