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Microsoft 70-448: Microsoft SQL Server 2008, Business Intelligence Development…

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8.32 Hours
94 Videos

Microsoft 70-448: Microsoft SQL Server 2008, Business Intelligence Development…

Course Description

8.32 Hours

94 Videos

Microsoft 70-448: Microsoft SQL Server 2008, Business Intelligence Development…

This course covers the following topics to prepare students for the 70-448 Microsoft SQL Server 2008 Business Intelligence Development and Maintenance exam: how to implement SSIS, SSAS, and SSRS solutions, as well as how to configure, deploy, and maintain SSIS, SSAS, and SSRS solutions.

The Microsoft 70-448 exam, titled “Microsoft SQL Server 2008, Business Intelligence Development and Maintenance,” was a certification exam that was part of the Microsoft Certified IT Professional (MCITP) certification track for SQL Server 2008. This certification was designed for IT professionals and developers who wanted to demonstrate their expertise in designing, developing, and maintaining business intelligence (BI) solutions using SQL Server 2008.

The Microsoft 70-448 exam was a crucial component of the MCITP certification path for SQL Server 2008, specifically focusing on Business Intelligence Development and Maintenance. This certification was aimed at professionals who were responsible for implementing and maintaining BI solutions using Microsoft SQL Server 2008.

The course covered a wide range of topics, including the development of multidimensional data models using SQL Server Analysis Services, designing and implementing ETL (Extract, Transform, Load) solutions with SQL Server Integration Services, and creating interactive reports with SQL Server Reporting Services. Additionally, it included aspects of data warehousing, data mining, and performance optimization for BI solutions.

Candidates preparing for this exam needed to have a strong foundation in SQL Server 2008, as well as a comprehensive understanding of the BI lifecycle, from gathering business requirements to deploying and maintaining BI solutions. Practical experience in working with SQL Server 2008 and its BI components was essential for success in this certification.

Achieving the MCITP certification for SQL Server 2008 Business Intelligence Development and Maintenance demonstrated a candidate’s ability to design and develop robust BI solutions, which were critical for businesses to gain insights from their data and make informed decisions.

This certification was valuable not only for IT professionals specializing in BI but also for database administrators, developers, and other IT experts interested in expanding their knowledge and skillset in SQL Server 2008’s BI features. However, it’s important to note that as of my last knowledge update in September 2021, Microsoft had transitioned to new certification pathways, focusing on the more recent SQL Server versions and cloud-based solutions. Therefore, candidates interested in SQL Server certifications should check Microsoft’s certification website for the most up-to-date information.

Course Syllabus

Module 1: SSIS Packages

  1. Introduction
  2. Creating SSIS Packages
  3. Creating A New Package Lab
  4. Data Sources Lab
  5. Connections Lab
  6. Control Flow
  7. Creating And Editing Control Flow Lab
  8. Data Flow
  9. Data Flow Transformations
  10. Data Flow Lab

Module 2: Debugging and Error Handling in SSIS

  1. Debugging And Error Handling in SSIS-Part1
  2. Enable Transactions And Observe Trans Rollback Lab
  3. Set Checkpoints In A Package Lab
  4. Debugging And Error Handling in SSIS-Part2
  5. Setting Up Constraints Lab
  6. Turn On Logging Lab
  7. Debugging And Error Handling in SSIS-Part3
  8. Identifying Data Flow Errors Lab

Module 3: Deploying and Configuring SSIS Packages

  1. Lesson1-Part1 Deploying
  2. Lesson1-Part2 Sharing Ordering And Configuring
  3. Create An XML Configuration Lab
  4. Create A SQL Server Configuration Lab
  5. Use A Property Expression To Update A Connection Lab
  6. Deploying An SSIS Package
  7. Create And Deploy An Installer Kit Lab

Module 4: Securing and Executing SSIS Packages; Service Administration

  1. Lesson1-Part1 Securing And Executing SSIS Packages
  2. Lesson1-Part2 SSIS Package Security
  3. Turn On Package Encryption Lab
  4. Change Security Roles Lab
  5. Lesson2 Executing And Administration
  6. Create And Execute A Command-Line Statement Lab
  7. Execute A Package Through SQL Server Agent Lab

Module 5: Data Analysis

  1. Lesson1 SSAS Cube Development
  2. Create SSAS Project Lab
  3. Create A Data Source Lab
  4. Create A Data Source View Lab
  5. Lesson2 Creating And Modifying SSAS Cube
  6. Creating A Cube Lab
  7. Using Cube Designer To Edit A Cube Structure Lab
  8. Lesson3 Creating A Dimension
  9. Create A New Dimension Lab
  10. Lesson4 Creating Measure Groups And Measures
  11. Add Measure Groups Lab
  12. Configure Measure Groups And Measures Lab

Module 6: Extending SSAS Cubes

  1. Lesson1 Extending SSAS Cubes-Part1
  2. Define Attribute Relationships Lab
  3. Define User Hierarchy Lab
  4. Lesson2 Extending SSAS Cube-Part3
  5. Implement The Reseller Sales KPI Lab
  6. Lesson3 Extending SSAS Cube-Part3
  7. Turn On Proactive Caching Lab

Module 7: Extending SSAS Cubes

  1. Lesson1-Part1 SSAS Storage Processing And Deployment
  2. Lesson1-Part2 Aggregating And Enabling Proactive Caching
  3. Turning On Proactive Caching Lab
  4. Lesson2 SSAS Deployment
  5. Deploy Database With Deployment Wizard Lab
  6. Lesson3 Processing
  7. Processing Scripts Using SQL Server Agent Lab

Module 8: Securing and Administering SSAS

  1. Lesson1 SSAS Security
  2. Create A Role And Set Security Lab
  3. Lesson2 Backing Up SSAS
  4. Backing Up And Maintain Management Studio Lab
  5. Lesson3 Managing SSAS Turning And Logging
  6. Turning On Query Logging Lab
  7. Lesson4 SSAS Administering
  8. Turn On And Use SQL Server Profiler Lab
  9. Monitor SSAS Performance Lab

Module 9: Working With SSAS Data Mining

  1. Lesson1-Part1 Prepare And Creating Data Mining Structures
  2. Lesson1-Part2 Data Mining Algorithms And Usage
  3. Data Mining Wizard Lab
  4. Lesson2 Mapping Mining Structure Attributes To Source Columns
  5. Create A Model From A Cube Lab
  6. Lesson3 Predictive Models
  7. Lesson4 Data Mining Security
  8. Managing Permissions Lab

Module 10: Developing SSAS Reports

  1. Lesson1 Understanding SSRS Reports
  2. Creating Reports Lab
  3. Lesson2 Creating A New Report Database
  4. Generate More Reports Lab
  5. Lesson3 Advanced Report Object Properties-Part1
  6. Lesson4 Advanced Report Object Properties-Part2

Module 11: Extending and Deploying SSRS Reports

  1. Lesson1 SSRS Report Parameters
  2. Create A Report Without Using Wizard Lab
  3. Lesson2 Extending SSRS Reports
  4. Lesson3 Deploying SSRS Reports

Module 12: Scheduling Deployed Reports and Data Sources

  1. Lesson1 Scheduling Reports And Subscriptions
  2. Creating A New Role For SSRS Lab
  3. Lesson2 SSRS And Data Sources
  4. Set Up Shared Schedule Lab

Module 13: Configuring And Administering the SSRS Server

  1. Installing And Configuring SSRS Server
  2. Changing Settings In Configuration Manager Lab
  3. Lesson2 Administering The SSES Server And Command-Line Utilities
  4. Backing Up And Restoring Encryption Keys Lab
  5. Conclusion

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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

Microsoft 70-448: Microsoft SQL Server 2008, Business Intelligence Development…

This course covers the following topics to prepare students for the 70-448 Microsoft SQL Server 2008 Business Intelligence Development and Maintenance exam: how to implement SSIS, SSAS, and SSRS solutions, as well as how to configure, deploy, and maintain SSIS, SSAS, and SSRS solutions.

The Microsoft 70-448 exam, titled “Microsoft SQL Server 2008, Business Intelligence Development and Maintenance,” was a certification exam that was part of the Microsoft Certified IT Professional (MCITP) certification track for SQL Server 2008. This certification was designed for IT professionals and developers who wanted to demonstrate their expertise in designing, developing, and maintaining business intelligence (BI) solutions using SQL Server 2008.

The Microsoft 70-448 exam was a crucial component of the MCITP certification path for SQL Server 2008, specifically focusing on Business Intelligence Development and Maintenance. This certification was aimed at professionals who were responsible for implementing and maintaining BI solutions using Microsoft SQL Server 2008.

The course covered a wide range of topics, including the development of multidimensional data models using SQL Server Analysis Services, designing and implementing ETL (Extract, Transform, Load) solutions with SQL Server Integration Services, and creating interactive reports with SQL Server Reporting Services. Additionally, it included aspects of data warehousing, data mining, and performance optimization for BI solutions.

Candidates preparing for this exam needed to have a strong foundation in SQL Server 2008, as well as a comprehensive understanding of the BI lifecycle, from gathering business requirements to deploying and maintaining BI solutions. Practical experience in working with SQL Server 2008 and its BI components was essential for success in this certification.

Achieving the MCITP certification for SQL Server 2008 Business Intelligence Development and Maintenance demonstrated a candidate’s ability to design and develop robust BI solutions, which were critical for businesses to gain insights from their data and make informed decisions.

This certification was valuable not only for IT professionals specializing in BI but also for database administrators, developers, and other IT experts interested in expanding their knowledge and skillset in SQL Server 2008’s BI features. However, it’s important to note that as of my last knowledge update in September 2021, Microsoft had transitioned to new certification pathways, focusing on the more recent SQL Server versions and cloud-based solutions. Therefore, candidates interested in SQL Server certifications should check Microsoft’s certification website for the most up-to-date information.

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