Course Information
Course Name: Microsoft 70-448: Microsoft SQL Server 2008, Business Intelligence Development and Maintenance
Certification Focus: Microsoft Exam 70-448
Total Video Hours: 8 Hrs 48 Min
Total Videos: 94
Delivery Mode: Online, on-demand
Skill Level: Intermediate to Advanced
Category: SQL Server Business Intelligence / Data Warehouse Training
This SQL Server BI course supports professionals involved in ETL development, analytical cube design, enterprise reporting, and BI platform administration using SQL Server 2008 technologies.
Included in This Course
Exam-aligned preparation for Microsoft 70-448
94 structured video lessons with guided labs
End-to-end SSIS package development and deployment
SSAS cube design, extension, processing, and security
SSRS report development, deployment, and scheduling
Data mining models using SSAS
Administrative maintenance and performance monitoring techniques
Lifetime access to course materials
Course Outline
SSIS Packages
Debugging and Error Handling in SSIS
Deploying and Configuring SSIS Packages
Securing and Executing SSIS Packages; Service Administration
Data Analysis
Extending SSAS Cubes
SSAS Storage Processing and Deployment
Securing and Administering SSAS
Working With SSAS Data Mining
Developing SSAS Reports
Extending and Deploying SSRS Reports
Scheduling Deployed Reports and Data Sources
Configuring And Administering the SSRS Server
Microsoft 70-448: SQL Server 2008 Business Intelligence Development and Maintenance
Microsoft SQL Server 2008 Business Intelligence solutions form a critical foundation for enterprise data analytics, reporting, and decision support systems. Effective BI development requires deep understanding of ETL workflows, analytical modeling, reporting architecture, and platform administration. Microsoft 70-448: Microsoft SQL Server 2008, Business Intelligence Development and Maintenance Online Course addresses these requirements through structured, exam-aligned instruction.
The course begins with SQL Server Integration Services (SSIS), focusing on package creation and ETL architecture. Instruction explains SSIS package components, data sources, connection managers, control flow design, and data flow transformations. These elements form the backbone of data warehouse pipelines and enterprise data integration strategies. Practical labs reinforce how to design and manage data movement processes efficiently.
Debugging and error handling in SSIS is addressed as a critical operational skill. Lessons explain transaction handling, checkpoints, constraints, logging, and data flow error identification. These techniques ensure ETL reliability, data consistency, and recoverability in production environments where failures can impact downstream analytics.
Deployment and configuration of SSIS packages receive focused coverage. Instruction explains deployment models, package sharing, configuration management using XML and SQL Server configurations, and property expressions. Deployment labs demonstrate how to prepare SSIS packages for production environments and manage configuration changes without modifying package logic.
Security and execution management for SSIS packages is another core component. Lessons explain package protection levels, encryption, role-based access, and execution options through command-line utilities and SQL Server Agent. These topics support secure and automated ETL operations aligned with enterprise governance standards.
SQL Server Analysis Services (SSAS) development forms the analytical core of the course. Instruction covers cube development processes, data source configuration, data source views, and cube creation workflows. Cube designer tools are demonstrated to modify cube structures and support analytical querying.
Dimension design, measure groups, and measures are explained in detail. These components define how business metrics are calculated and analyzed across dimensions such as time, geography, and product. Labs demonstrate practical cube modeling techniques used in enterprise BI systems.
Extending SSAS cubes introduces advanced analytical features. Lessons explain attribute relationships, user hierarchies, key performance indicators (KPIs), and proactive caching. These features enhance query performance, analytical clarity, and near-real-time data availability for business users.
SSAS storage, processing, and deployment are addressed as essential administrative functions. Instruction explains aggregation strategies, deployment workflows, and processing options. Automation using SQL Server Agent scripts ensures analytical models remain current with source data.
Security and administration of SSAS environments receive structured attention. Lessons explain role-based security models, backup procedures, performance tuning, logging, and monitoring using SQL Server Profiler. These skills support secure, stable, and scalable analytical platforms.
Data mining capabilities within SSAS expand BI functionality beyond traditional reporting. Instruction covers mining structures, algorithms, predictive models, and security management. Labs demonstrate how to create mining models from cubes and interpret predictive results for business analysis.
SQL Server Reporting Services (SSRS) development addresses enterprise reporting requirements. Lessons explain report architecture, report creation, database configuration, and advanced report object properties. Practical labs guide the development of both wizard-based and custom reports.
Extending and deploying SSRS reports covers parameters, report customization, and deployment strategies. Instruction explains how to publish reports to reporting servers and integrate them into enterprise reporting workflows.
Scheduling and subscription management for SSRS reports ensures timely delivery of information. Lessons explain shared schedules, role configuration, and data source management. These capabilities support automated report distribution and operational reporting needs.
SSRS server configuration and administration conclude the course. Instruction covers installation, configuration manager settings, command-line utilities, encryption key management, and backup procedures. These topics ensure reporting platforms remain secure and recoverable.
Microsoft 70-448: Microsoft SQL Server 2008, Business Intelligence Development and Maintenance Online Course supports preparation for Exam 70-448. Exam objectives include implementing SSIS solutions, configuring and maintaining SSIS, implementing SSAS solutions, configuring and maintaining SSAS, implementing SSRS solutions, and configuring and maintaining SSRS.
This SQL Server BI course supports database professionals, BI developers, and data analysts responsible for enterprise BI environments. Structured lessons, practical labs, and certification alignment provide a focused learning path for SQL Server 2008 Business Intelligence development and maintenance roles.
Frequently Asked Questions
Who should enroll in Microsoft 70-448: SQL Server 2008 Business Intelligence course?
This course is designed for BI developers, database professionals, and data analysts working with SQL Server 2008 BI technologies.
Does this course prepare for Microsoft Exam 70-448?
Yes, the course content aligns directly with the official Microsoft 70-448 exam objectives.
Is prior SQL Server experience required?
Prior knowledge of SQL Server fundamentals is recommended, particularly database concepts and basic administration.
Does the course include SSIS, SSAS, and SSRS coverage?
Yes, the course provides structured instruction across SSIS, SSAS, and SSRS development and maintenance.
Are practical labs included in the course?
Yes, guided labs are included throughout the course to reinforce BI development and administrative tasks.
How long is the total course duration?
The course includes 8 hours and 48 minutes of video instruction across 94 lessons.
Is this course suitable for enterprise BI implementation roles?
Yes, the course addresses enterprise-level BI development, deployment, security, and administration requirements.
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