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Microsoft 70-466: Implementing Data Models & Reports with SQL…

41 Videos
13.04 Hours
42 Test Questions

Closed Caption

Certificate

Dedicated Tutors

Microsoft 70-466: Implementing Data Models & Reports with SQL…

Course Highlights

Closed Caption

Certificate

Dedicated Tutors

13.04 Hours
41 Videos

Microsoft 70-466: Implementing Data Models & Reports with SQL…

Course Description

13.04 Hours

41 Videos

This course prepares students for the Microsoft 70-466: Implementing Data Models & Reports with SQL Server 2012 exam. The course focuses on creating managed enterprise BI solutions and covers how to implement multidimensional and tabular data models, deliver reports with Microsoft SQL Server Reporting Services, create dashboards with Microsoft SharePoint Server Performance Point Services, and discover business insights by using data mining.

Course Lesson Preview Video

Take this opportunity to view a lesson included in this course that is part of our complete SQL courses available.

The exam measures your ability to accomplish the technical tasks listed below.

  • Build an analysis services multidimensional database (35-40%)
  • Manage, maintain, and troubleshoot a SQL Server Analysis Services (SSAS) database (15-20%)
  • Build a tabular data model (15-20%)
  • Build a report with SQL Server Reporting Services (SSRS) (25-30%)

As of February 18, 2016, this exam includes content covering both SQL Server 2012 and 2014. Please note that this exam does not include questions on features or capabilities that are present only in the SQL Server 2012 product.

The Microsoft certification course 70-466, titled “Implementing Data Models and Reports with SQL Server,” is designed for database professionals and business intelligence developers seeking to acquire advanced skills in creating data models and reports using SQL Server technologies. This course focuses on the use of SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) to build robust, interactive, and insightful business intelligence solutions.

Participants will gain expertise in designing and implementing multidimensional and tabular data models, enhancing data visualization through advanced reporting techniques, and automating data processing tasks using SSIS. The course also covers security, optimization, and performance-tuning strategies to ensure that data models and reports deliver actionable insights effectively.

By successfully completing this course and obtaining the associated certification, individuals can demonstrate their proficiency in leveraging SQL Server tools to create data-driven solutions that empower organizations with valuable insights, ultimately enhancing decision-making processes and driving business success.

To see more Microsoft-related training, click here.

Course Syllabus

Module 1: Introduction To Business Intelligence And Data Modeling

  1. Introduction To Business Intelligence and Data Modeling Part1
  2. Introduction To Business Intelligence and Data Modeling Part2
  3. The Microsoft Business Intelligence Platform Part 1
  4. The Microsoft Business Intelligence Platform Part 2
  5. The Microsoft Business Intelligence Platform Part 3
  6. The Microsoft Business Intelligence Platform Part 4

Module 2: Implementing Reports The SQL Server Reporting Services

  1. Implementing Reports the SQL Server Reporting Services Part 1
  2. Implementing Reports the SQL Server Reporting Services Part 2
  3. Implementing Reports the SQL Server Reporting Services Part 3
  4. Implementing Reports the SQL Server Reporting Services Part 4
  5. Implementing Reports the SQL Server Reporting Services Part 5
  6. Implementing Reports the SQL Server Reporting Services Part 6
  7. Implementing Reports the SQL Server Reporting Services Part 7
  8. Implementing Reports the SQL Server Reporting Services Part 8

Module 3: Supporting Self Service Reporting

  1. Supporting Self Service Reporting Part 1
  2. Supporting Self Service Reporting Part 2

Module 4: Managing Report Execution And Delivery

  1. Managing Report Execution And Delivery
  2. Managing Report Execution
  3. Subscriptions And Data Alerts

Module 5: Creating Multidimensional Databases

  1. Creating Multidimensional Databases
  2. Creating Data Sources And Data Source Views
  3. Creating And Browsing a Cube

Module 6: Working With Cubes And Dimensions

  1. Working with Cubes And Dimensions
  2. Sorting And Grouping Attributes

Module 7: Working With Measures And Measure Groups

  1. Working With Measures and Measure Groups

Module 8: Introduction To MDX

  1. Introduction To MDX
  2. Adding Calculations To A Cube

Module 9: Customizing Cube Functionality

  1. Customizing Cube Functionality Part 1
  2. Customizing Cube Functionality Part 2
  3. Customizing Cube Functionality Part 3

Module 10: Implementing A Tabular Data Model

  1. Implementing A Tabular Data Model Part 1
  2. Implementing A Tabular Data Model Part 2

Module 11: Introduction To DAX

  1. Introduction to DAX
  2. Demonstration Making A Tabular Model Part 1
  3. Demonstration Making A Tabular Model Part 2
  4. Using DAX

Module 12: Implementing An Analysis Services Tabular Data Model

  1. Implementing An Analysis Services Tabular Data Model Part 1
  2. Implementing An Analysis Services Tabular Data Model Part 2
  3. Deploying A Tabular Data Model

Module 13: SQL Analysis Services

  1. SQL Analysis Services Part 1
  2. SQL Analysis Services Part 2

Module 14: Creating Data Visualizations With Power View

  1. Creating Data Visualizations With Power View

Module 15: Supporting Self Service Reporting

  1. Supporting Self Service Reporting

Module 16: Performing Predictive Analysis With Data Mining

  1. Performing Predictive Analysis With Data Mining
  2. Using The Data Mining Wizard

Module 17: Predictive Analytics

  1. Predictive Analytics Part 1
  2. Predictive Analytics Part 2

Course Highlights

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Microsoft 70-466: Implementing Data Models & Reports with SQL…

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Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

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Description

This course prepares students for the Microsoft 70-466: Implementing Data Models & Reports with SQL Server 2012 exam. The course focuses on creating managed enterprise BI solutions and covers how to implement multidimensional and tabular data models, deliver reports with Microsoft SQL Server Reporting Services, create dashboards with Microsoft SharePoint Server Performance Point Services, and discover business insights by using data mining.

Course Lesson Preview Video

Take this opportunity to view a lesson included in this course that is part of our complete SQL courses available.

The exam measures your ability to accomplish the technical tasks listed below.

  • Build an analysis services multidimensional database (35-40%)
  • Manage, maintain, and troubleshoot a SQL Server Analysis Services (SSAS) database (15-20%)
  • Build a tabular data model (15-20%)
  • Build a report with SQL Server Reporting Services (SSRS) (25-30%)

As of February 18, 2016, this exam includes content covering both SQL Server 2012 and 2014. Please note that this exam does not include questions on features or capabilities that are present only in the SQL Server 2012 product.

The Microsoft certification course 70-466, titled “Implementing Data Models and Reports with SQL Server,” is designed for database professionals and business intelligence developers seeking to acquire advanced skills in creating data models and reports using SQL Server technologies. This course focuses on the use of SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) to build robust, interactive, and insightful business intelligence solutions.

Participants will gain expertise in designing and implementing multidimensional and tabular data models, enhancing data visualization through advanced reporting techniques, and automating data processing tasks using SSIS. The course also covers security, optimization, and performance-tuning strategies to ensure that data models and reports deliver actionable insights effectively.

By successfully completing this course and obtaining the associated certification, individuals can demonstrate their proficiency in leveraging SQL Server tools to create data-driven solutions that empower organizations with valuable insights, ultimately enhancing decision-making processes and driving business success.

To see more Microsoft-related training, click here.

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