MSBI Training: Unleash the Power of Business Intelligence

Introduction to MSBI

1. What is MSBI?
2. Components of MSBI (SSIS, SSAS, SSRS)
3. Importance of MSBI in Business Intelligence
4. Use Cases and Applications of MSBI

Getting Started with SSIS (SQL Server Integration Services)

1. Introduction to SSIS
2. SSIS Architecture and Components
3. Creating SSIS Projects and Packages
4. Building Data Flows and Control Flows

Data Extraction and Transformation with SSIS

1. Extracting Data from Various Sources (Databases, Flat Files, Excel, Web Services)
2. Performing Data Cleansing and Transformation Tasks
3. Using SSIS Data Flow Transformations (Derived Columns, Conditional Split, Lookup)
4. Handling Errors and Data Quality Issues in SSIS

Data Loading and Automation with SSIS

1. Loading Data into Data Warehouses and Data Marts
2. Incremental Data Loading Techniques (CDC, Change Tracking)
3. Scheduling SSIS Packages with SQL Server Agent Jobs
4. Deploying and Configuring SSIS Packages for Production

Introduction to SSAS (SQL Server Analysis Services)

1. Introduction to SSAS
2. Multidimensional vs. Tabular Models in SSAS
3. Creating SSAS Projects and Solutions
4. Designing Dimensions and Measures in SSAS Cubes

Building Multidimensional Cubes with SSAS

1. Defining Dimensions and Hierarchies in SSAS Cubes
2. Creating Measures and Calculated Members
3. Processing SSAS Cubes and Dimensions
4. Implementing Partitions and Aggregations for Performance Optimization

Developing Tabular Models with SSAS

1. Creating Tabular Models in SSAS
2. Importing Data from Data Sources into Tabular Models
3. Defining Relationships and Calculated Columns
4. Implementing Row-Level Security in Tabular Models

Introduction to SSRS (SQL Server Reporting Services)

1. Introduction to SSRS
2. SSRS Architecture and Components
3. Creating SSRS Projects and Reports
4. Designing Basic Reports with SSRS

Building Interactive Reports with SSRS

1. Adding Parameters and Filters to SSRS Reports
2. Incorporating Expressions and Custom Code in SSRS Reports
3. Creating Drill-Down and Drill-Through Reports
4. Implementing Sorting and Grouping in SSRS Reports

Advanced Reporting Techniques with SSRS

1. Using Subreports and Linked Reports
2. Implementing Report Caching and Snapshots
3. Rendering Reports in Different Formats (PDF, Excel, Word)
4. Deploying and Managing SSRS Reports in Production Environments

Integration of MSBI Components

1. Integrating SSIS, SSAS, and SSRS in MSBI Solutions
2. Building End-to-End Data Warehousing Solutions with MSBI
3. Implementing ETL Processes with SSIS and SSAS
4. Developing Interactive Dashboards and Reports with SSRS and SSAS

Data Visualization and Analytics with MSBI

1. Visualizing Data Trends and Patterns with SSRS
2. Performing Advanced Analytics with SSAS (Data Mining, Predictive Analytics)
3. Implementing KPIs and Scorecards in SSAS Cubes
4. Using Power BI for Self-Service Data Visualization and Analysis

Performance Tuning and Optimization in MSBI

1. Identifying and Resolving Performance Bottlenecks in SSIS Packages
2. Tuning SSAS Cubes for Query Performance
3. Optimizing Report Rendering and Execution in SSRS
4. Implementing Indexes and Partitions for SSAS and SSRS Optimization

Best Practices and Deployment Strategies

1. MSBI Development Best Practices and Coding Standards
2. Version Control and Release Management in MSBI Projects
3. Deploying MSBI Solutions to Development, Test, and Production Environments
4. Monitoring and Maintaining MSBI Solutions for Performance and Reliability

Real-World Projects and Case Studies

1. Building Data Warehousing Solutions with MSBI
2. Implementing Enterprise Reporting and Analytics Platforms
3. Developing Self-Service BI Solutions with MSBI and Power BI
4. Lessons Learned from Real-World MSBI Implementations

Career Development in MSBI

1. Roles and Responsibilities in MSBI Development and Administration
2. Skills and Qualifications for MSBI Roles
3. Certification Paths and Training Resources for MSBI
4. Building a Portfolio of MSBI Projects and Demonstrations

Conclusion and Next Steps

1. Summary of Key Concepts Covered in the Course
2. Actionable Takeaways for Mastering MSBI
3. Continuing Education and Professional Development Resources
4. Q&A and Open Discussion

Advanced SSIS Techniques

1. Scripting and Custom Components in SSIS
2. Implementing Data Quality Services (DQS) in SSIS
3. Handling Slowly Changing Dimensions (SCD) in SSIS
4. Parallel Execution and Optimization Strategies in SSIS

Advanced SSAS Techniques

1. Advanced Cube Design Techniques (Writeback, Actions)
2. Working with Perspectives and Translations in SSAS
3. Implementing Role-Playing Dimensions in SSAS Cubes
4. Advanced MDX and DAX Expressions for Analysis Services

Advanced SSRS Techniques

1. Building Custom Report Templates and Themes in SSRS
2. Implementing Report Subscriptions and Data-Driven Subscriptions
3. Integrating SSRS Reports with SharePoint and Power BI
4. Extending SSRS Functionality with Custom Extensions and Add-Ons

MSBI in Cloud Environments

1. Introduction to Azure Synapse Analytics (Formerly Azure SQL Data Warehouse)
2. Migrating MSBI Solutions to Azure Data Platform
3. Building Modern BI Solutions with Azure Analysis Services
4. Leveraging Azure Data Factory for ETL and Data Orchestration

Big Data Integration with MSBI

1. Introduction to Big Data Technologies (Hadoop, Spark)
2. Integrating Big Data Sources with MSBI (PolyBase)
3. Building Data Lakes and Analytical Solutions with MSBI
4. Real-Time Data Processing with Stream Analytics and MSBI

Data Governance and Compliance in MSBI

1. Implementing Data Governance Policies in MSBI Solutions
2. Ensuring Data Quality and Compliance with Regulatory Standards
3. Auditing and Monitoring Data Access and Usage in MSBI
4. Data Privacy and Protection in MSBI Environments

MSBI Performance Monitoring and Optimization

1. Monitoring SSIS Package Execution and Performance Metrics
2. Analyzing SSAS Cube Usage and Query Performance
3. Optimizing SSRS Report Rendering and Execution Times
4. Performance Tuning Best Practices for MSBI Deployments

Advanced Analytics and Machine Learning with MSBI

1. Introduction to Azure Machine Learning Services
2. Integrating Azure ML Models with SSAS for Predictive Analytics
3. Building Advanced Analytical Solutions with R and Python
4. Implementing AI and ML Models in MSBI Dashboards and Reports

Real-World Use Cases and Industry Applications

1. Building Operational Dashboards for Manufacturing Industry
2. Implementing Predictive Analytics Solutions for Financial Services
3. Developing Customer Analytics Platforms for Retail Industry
4. Case Studies and Success Stories from Various Industries

MSBI Certification Preparation

1. Overview of Microsoft Certified: Data Analyst Associate (DA-100) Exam
2. Exam Objectives and Skills Measured
3. Study Tips and Resources for MSBI Certification
4. Mock Exams and Practice Questions for Exam Preparation