Business Intelligence Development

What You Will Learn

• 1 Learn the foundations of Business Intelligence, including core concepts, architectures, and the role of BI within modern organizations.
• 2 Understand data warehousing principles, including dimensional modeling, schema design, and how warehouses support analytical workloads.
• 3 Apply ETL and ELT processes to extract, transform, and load data from diverse source systems into a centralized analytical environment.
• 4 Explore SQL for analytics, covering window functions, aggregations, subqueries, and query optimization techniques used in BI development.
• 5 Develop data models using best practices for star schemas, snowflake schemas, and slowly changing dimensions to support reporting needs.
• 6 Build interactive dashboards and reports using industry-standard visualization tools and principles of effective data storytelling.
• 7 Understand OLAP concepts, cube design, and multidimensional analysis techniques for complex business reporting scenarios.
• 8 Implement data quality frameworks, including profiling, cleansing, validation, and governance practices that ensure reliable BI outputs.
• 9 Analyze performance tuning strategies for BI systems, including indexing, partitioning, aggregation tables, and query plan analysis.
• 10 Discover cloud-based BI platforms and modern data stack components, including cloud warehouses, orchestration tools, and SaaS BI tools.
• 11 Apply advanced analytics techniques within BI environments, including statistical summaries, trend analysis, and predictive metric integration.
• 12 Create a complete BI solution by integrating all course concepts into a structured development lifecycle from requirements to deployment.