Course: Implementing Data Models and Reports with Microsoft SQL Server 2012
Duration: 3.00 Day(s)
Students will learn how to implement self-service analytics and reporting, to implement multidimensional analysis solutions, create PowerPivot and tabular data models, and deliver rich data visualizations with PowerView and SQL Server Reporting Services.
Who Should Attend:
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.
Prerequisite(s) or equivalent knowledge:
10774 Querying Microsoft SQL Server 2012
Before attending 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.
Lesson 1: Introduction to Business Intelligence and Data Modeling
Introduction to Business Intelligence
The Microsoft Business Intelligence Platform
Lesson 2: Implementing Reports with SQL Server Reporting Services
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
Lesson 3: Supporting Self Service Reporting
Introduction to Self Service Reporting
Shared Data Sources and Datasets
Lesson 4: Managing Report Execution and Delivery
Managing Report Security
Managing Report Execution
Subscriptions and Data Alert
Troubleshooting Reporting Services
Lesson 5: Creating Multidimensional Databases
Introduction to Multidimensional Analysis
Creating Data Sources and Data Source Views
Creating a Cube
Overview of Cube Security
Lesson 6: Working with Dimensions
Defining Attribute Hierarchies
Sorting and Grouping Attributes
Lesson 7: Working with Measures and Measure Groups
Working with Measures
Working with Measure Groups
Lesson 8: Introduction to MDX
Adding Calculations to a Cube
Using MDX to Query a Cube
Lesson 9: Customizing Cube Functionality
Working with Key Performance Indicators
Working with Actions
Working with Perspectives
Working with Translations
Lesson 10: Implementing a Tabular Data Model with Microsoft PowerPivot
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
Lesson 11: Introduction to DAX
Using DAX to Create Calculated Column and Measures in a Tabular Data Model
Lesson 12: Implementing an Analysis Services Tabular Data Model
Introduction to Analysis Services Tabular Data Model Projects
Developing an Analysis Services Tabular Data Model in SQL Server Data Tools
Lesson 13: Creating Data Visualizations with Power View
Introduction to Power View
Visualizing Data with Power View
Lesson 14: Performing Predictive Analysis with Data Mining
Overview of Data Mining
Creating a Data Mining Solution
Validating a Data Mining Solution
Consuming a Data Mining Solution