Course Information
Course Name: Microsoft 70-466: Implementing Data Models & Reports with SQL Server 2012
Total Video Hours: 12 Hrs 46 Min
Total Videos: 47
Delivery Format: Online, self-paced video training
Certification Alignment: Microsoft 70-466 Implementing Data Models & Reports
Skill Level: Intermediate to Advanced
Target Audience: Business intelligence developers, data analysts, SQL Server professionals, reporting specialists
Included in This Course
Business intelligence architecture and Microsoft BI platform overview
SQL Server Reporting Services (SSRS) report development
Self-service reporting and report management
Multidimensional data models and OLAP cube design
Measures, dimensions, and MDX fundamentals
Tabular data models and DAX calculations
Analysis Services implementation and deployment
Predictive analytics and data mining techniques
Course Outline
Introduction To Business Intelligence And Data Modeling
Implementing Reports The SQL Server Reporting Services
Supporting Self Service Reporting
Managing Report Execution And Delivery
Creating Multidimensional Databases
Working With Cubes And Dimensions
Working With Measures And Measure Groups
Introduction To MDX
Customizing Cube Functionality
Implementing A Tabular Data Model
Introduction To DAX
Implementing An Analysis Services Tabular Data Model
SQL Analysis Services
Creating Data Visualizations With Power View
Supporting Self Service Reporting
Performing Predictive Analysis With Data Mining
Predictive Analytics
Microsoft 70-466: Implementing Data Models & Reports with SQL Server 2012
Microsoft 70-466: Implementing Data Models & Reports with SQL Server 2012 Online Course is structured to address the core responsibilities of business intelligence developers working with Microsoft SQL Server technologies. Enterprise organizations rely heavily on data-driven insights, and this course explains how to design and deliver BI solutions that transform raw data into actionable information.
Business intelligence and data modeling form the foundation of enterprise analytics. The course explains how BI systems collect, integrate, and analyze data from multiple sources to support strategic decision-making. Emphasis is placed on understanding how data models represent business processes and enable consistent reporting across the organization.
The Microsoft Business Intelligence platform is examined in detail, highlighting the role of SQL Server, Analysis Services, Reporting Services, and related tools. These components work together to support enterprise-scale analytics, reporting, and data visualization. Understanding this platform is essential for BI developers responsible for implementing and maintaining reporting solutions.
SQL Server Reporting Services (SSRS) plays a critical role in delivering operational and analytical reports. The course explains how to design, build, and deploy reports that present data clearly and accurately. Topics include report layout, data sources, parameters, and formatting techniques that support business reporting requirements.
Managing report execution and delivery ensures that reports are available to the right users at the right time. The course explains scheduling, subscriptions, and data alerts to automate report distribution. These features support operational efficiency and ensure timely access to information.
Self-service reporting enables business users to access and analyze data independently. The course explains how BI developers support self-service reporting environments while maintaining data governance and security. This balance allows organizations to empower users without compromising data integrity.
Multidimensional databases are introduced as a key component of analytical solutions. The course explains how to design and build OLAP cubes using SQL Server Analysis Services. Concepts such as dimensions, hierarchies, and measures are explained to support fast, complex queries across large datasets.
Working with cubes and dimensions allows BI developers to model business metrics effectively. The course explains how attributes are sorted, grouped, and organized to reflect business logic. These structures enable users to analyze data from multiple perspectives.
Measures and measure groups define the calculations used in analytical models. The course explains how measures are created, aggregated, and optimized to ensure accurate results. Understanding measure design is critical for producing reliable business insights.
MDX (Multidimensional Expressions) is introduced as the query language used to interact with multidimensional models. The course explains MDX fundamentals and how calculations enhance cube functionality. These skills enable advanced analytics and custom business logic within cubes.
Customizing cube functionality allows developers to tailor analytical models to specific business needs. The course explains how to extend cube behavior using calculations, actions, and security features. These customizations improve usability and analytical depth.
Tabular data models are presented as an alternative to multidimensional models. The course explains how tabular models use in-memory technology to deliver fast query performance. Implementing tabular models supports modern BI scenarios and integrates closely with reporting tools.
DAX (Data Analysis Expressions) is introduced as the formula language for tabular models. The course explains how DAX calculations support advanced analytics, measures, and calculated columns. Practical demonstrations reinforce how DAX enhances reporting capabilities.
Analysis Services tabular data models are implemented and deployed to support enterprise reporting environments. The course explains deployment strategies and model management practices that ensure reliability and scalability.
SQL Analysis Services serves as the engine behind both multidimensional and tabular models. The course explains its role in processing, securing, and delivering analytical data. Understanding Analysis Services is essential for maintaining BI solutions in production environments.
Power View is introduced as a tool for creating interactive data visualizations. The course explains how visual reports support business analysis and communication. Effective data visualization helps stakeholders understand trends and patterns quickly.
Predictive analysis and data mining extend BI solutions beyond historical reporting. The course explains how data mining techniques identify patterns and predict outcomes. Using the Data Mining Wizard, developers can build models that support forecasting and advanced analytics.
Predictive analytics enables organizations to anticipate trends and make proactive decisions. The course explains how predictive models integrate with BI environments to support strategic planning.
Although the Microsoft 70-466 exam retired on January 31, 2021, the skills taught in this course remain highly relevant. Enterprise BI solutions continue to rely on data modeling, reporting, and analytics principles covered in this training. Professionals working with SQL Server and Microsoft BI tools benefit from the practical knowledge provided.
Microsoft 70-466: Implementing Data Models & Reports with SQL Server 2012 Online Course supports BI developers responsible for creating managed enterprise analytics solutions. The course strengthens technical expertise in data modeling, reporting services, analysis services, and predictive analytics, supporting career growth in data-focused roles.
Frequently Asked Questions
Who should take the Microsoft 70-466 course?
This course is designed for business intelligence developers, data analysts, and SQL Server professionals working with enterprise BI solutions.
Does this course prepare for the Microsoft 70-466 exam?
The course aligns with the objectives of the 70-466 exam, although the exam retired on January 31, 2021.
Is prior SQL Server experience required?
Working knowledge of SQL Server and basic data concepts is recommended for effective learning.
What reporting tools are covered in this course?
The course covers SQL Server Reporting Services and Power View for report creation and visualization.
Are both multidimensional and tabular models included?
Yes, the course explains multidimensional cubes, tabular data models, MDX, and DAX.
Does the course include predictive analytics?
Predictive analysis and data mining techniques are included to support advanced BI scenarios.
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