Duration: 7 days – 49 hrs
Overview
The SQL Server Integration to Power BI + Power BI Essentials Training Course is designed to provide participants with a comprehensive understanding of integrating SQL Server data with Power BI and leveraging the essential functionalities of Power BI for effective data visualization and analysis. This course combines the power of SQL Server Integration Services (SSIS) for data extraction, transformation, and loading (ETL) with Power BI’s intuitive and interactive data visualization capabilities. Participants will gain hands-on experience in connecting to SQL Server databases, creating ETL processes, designing visually appealing reports and dashboards, and sharing insights with stakeholders.
Objectives
- Understand the concepts and benefits of SQL Server Integration Services (SSIS) for data integration.
- Connect and extract data from SQL Server databases using SSIS.
- Transform and cleanse data using SSIS transformations.
- Load data into Power BI for further analysis and visualization.
- Design visually appealing reports and dashboards using Power BI Desktop.
- Create interactive visualizations and apply advanced formatting options.
- Implement data modeling techniques to enhance data analysis capabilities.
- Collaborate and share insights through Power BI service and Power BI Mobile.
- Schedule data refreshes and automate ETL processes.
Audience
- Data analysts and business intelligence professionals
- Database administrators
- Data engineers
- IT professionals involved in data integration and visualization
- Power BI users seeking advanced skills in data connectivity and modeling
Pre- requisites
- Basic knowledge of SQL Server, data modeling concepts, and familiarity with Power BI is recommended.
Course Content
Introduction to SQL Server Integration Services (SSIS)
- Overview of SSIS and its capabilities
- Understanding ETL (Extract, Transform, Load) processes
- Integration scenarios with SQL Server and Power BI
Setting Up the Environment
- Installing SQL Server Data Tools (SSDT)
- Configuring SSIS packages and project settings
- Connecting to SQL Server databases and Power BI services
Creating SSIS Packages
- Creating a new SSIS project
- Adding and configuring data sources
- Designing data flow tasks
- Transforming and cleansing data using SSIS transformations
Advanced SSIS Techniques
- Scripting with SSIS using Script Task and Script Component
- Implementing custom SSIS components
- Parallel processing and data partitioning
Working with Flat Files and Excel Data
- Importing and exporting data from flat files
- Reading and writing data to Excel files
- Handling file formats, delimiters, and encoding
Extracting Data from SQL Server Databases
- Using SQL Server as a data source in SSIS packages
- Implementing data extraction strategies
- Incremental data loading techniques
Transforming and Cleaning Data in SSIS
- Working with SSIS transformations (e.g., Derived Column, Lookup, Conditional Split)
- Data type conversions and validations
- Handling null values and data quality issues
Loading Data into Power BI
- Integrating SSIS with Power BI using Power BI Desktop
- Establishing connections and data source settings
- Configuring data refresh schedules and methods
Introduction to Power BI
- Overview of Power BI and its capabilities
- Connecting to various data sources
- Building data models in Power BI Desktop
Data Visualization in Power BI
- Creating interactive reports and dashboards
- Using visualizations and charts effectively
- Applying filters, slicers, and drill-through actions
Power BI Data Transformation and Querying
- Transforming and shaping data using Power Query Editor
- Querying data using Power BI Desktop
- Advanced data modeling techniques
Power BI Sharing and Collaboration
- Sharing reports and dashboards with colleagues
- Collaboration features in Power BI
- Publishing Power BI reports to the web
Power BI Data Refresh and Security
- Configuring data refresh schedules and options
- Implementing row-level security in Power BI
- Managing data source credentials and gateways
Power BI Administration and Governance
- Power BI workspaces and content packs
- Implementing content lifecycle management
- Monitoring and optimizing Power BI performance
Power BI Advanced Topics
- DAX (Data Analysis Expressions) for advanced calculations
- Power BI visuals and custom visualizations
- Power BI integration with other tools and platforms
- Closing Remarks
