Duration: 5 days – 35 hrs.
Overview.
Data analytics is a rapidly growing field that plays a crucial role in extracting meaningful insights and patterns from vast amounts of data. In today’s data-driven world, organizations are seeking skilled professionals who can harness the power of data to make informed decisions and drive business growth. The Data Analytics and Applications Training Course is designed to equip participants with essential knowledge and practical skills to excel in this dynamic domain.
With the Power BI and SSIS Integration technology is designed to equip participants with the essential skills and knowledge required to excel in data modeling, DAX calculations, Tabular Editor, Power BI Desktop, and SQL Server Integration Services (SSIS) integration. Through hands-on exercises and practical case studies, participants will gain expertise in building advanced data models, optimizing queries, and implementing ETL processes, all within a condensed timeframe.
Objectives
- Build and optimize data models in Power BI using Tabular Editor.
- Create compelling and interactive reports and dashboards in Power BI Desktop.
- Master advanced DAX calculations and query optimization techniques.
- Effectively integrate SQL Server Integration Services (SSIS) into Power BI workflows.
- Implement ETL processes for data extraction, transformation, and loading.
- Apply best practices for performance optimization in both Power BI and SSIS.
- Analyze real-world integration case studies to solve complex data challenges.
Audience
- Business Intelligence Analysts and Developers
- Data Analysts and Data Scientists
- IT Professionals and Database Administrators
- Power BI and SSIS Enthusiasts
- Anyone seeking to enhance their skills in Power BI, DAX, Tabular Editor, and SSIS integration.
Pre- requisites
- Basic understanding of data analysis concepts.
- Familiarity with SQL and relational databases.
- Prior experience with Power BI and Power BI Desktop is helpful but not required.
- Basic knowledge of SQL Server Integration Services (SSIS) is a plus but not mandatory.
Course Content
Day 1: Introduction to Power BI, SSIS Integration, and Data Modeling
Morning Session
- Introduction to Power BI and its ecosystem.
- Overview of Power BI Desktop.
- Understanding data sources and connections.
Afternoon Session
- Introduction to SQL Server Integration Services (SSIS).
- Integrating SSIS and Power BI.
- Building your first SSIS package for Power BI.
Day 2: Advanced Data Modeling with Power BI and Tabular Editor
Morning Session
- Working with relationships in Power BI.
- Implementing hierarchies and role-playing dimensions.
- Introduction to star schema modeling.
Afternoon Session
- Advanced data modeling using Tabular Editor.
- Implementing calculations and partitions.
- Hands-on exercises and best practices.
Day 3: DAX Modeling and Query Optimization
Morning Session
- Advanced DAX functions and patterns.
- Writing complex DAX expressions.
- Leveraging DAX Studio for performance optimization.
Afternoon Session
- Advanced DAX modeling exercises.
- Debugging and troubleshooting DAX.
- Analyzing DAX query performance.
Day 4: Advanced SSIS Techniques for Data Extraction and Transformation
Morning Session
- Advanced SSIS transformations.
- Handling data from multiple sources.
- Error handling and data cleansing in SSIS.
Afternoon Session
- Implementing data load strategies.
- Incremental data loading with SSIS.
- Practical SSIS ETL exercises.
Day 5: Power BI Desktop for Advanced Reporting and Integration Case Studies
Morning Session
- Creating interactive reports with Power BI Desktop.
- Designing effective visuals and dashboards.
- Customizing themes and templates.
- Using Python Script in Power BI
Afternoon Session
- Drilling through and bookmarking in Power BI.
- Advanced visualization techniques.
- Real-world case studies of SSIS and Power BI integration.
- Final project: Building an end-to-end Power BI and SSIS solution.
- Q&A, course review, and certification.
