Business Intelligence Data Engineering Course: Integrating Power BI and Tableau Solutions

Introduction

Business Intelligence (BI) has become a cornerstone for organizations seeking data-driven decision-making, and modern BI solutions increasingly depend on robust data engineering practices. This course bridges the gap between BI reporting and enterprise-grade data engineering, equipping professionals with the ability to design and implement data pipelines that power tools such as Power BI and Tableau. Participants will gain both technical expertise and strategic insight into delivering scalable, reliable, and insightful BI solutions.

The training begins with foundational concepts in BI data modeling, data warehousing, and ETL processes, preparing learners to understand how raw data can be transformed into actionable insights. Participants will explore the architecture of BI ecosystems, focusing on the interplay between data pipelines, governance frameworks, and visualization platforms.

The course emphasizes hands-on learning with Power BI and Tableau, guiding learners in creating dashboards, optimizing data queries, and integrating data from diverse sources. Through practical labs, participants will experience how engineering practices directly impact BI efficiency, accuracy, and scalability in real-world business settings.

A critical focus is on data governance, security, and performance optimization. Participants will learn to manage large datasets, enforce data integrity, and implement best practices for query tuning and dashboard optimization. Case studies will highlight how organizations harness BI data engineering to achieve operational excellence, market intelligence, and predictive insights.

Finally, the course addresses emerging BI trends, including AI-driven analytics, real-time dashboards, and cloud-native BI architectures. By the end of the training, participants will not only master Power BI and Tableau but also develop the engineering mindset to integrate BI solutions into enterprise-wide data strategies for long-term business success.

Who Should Attend

• Data engineers supporting BI and analytics initiatives.
• BI developers and analysts working with Power BI or Tableau.
• Data architects designing BI-enabled data infrastructures.
• Business analysts seeking advanced BI integration skills.
• IT managers overseeing BI and data governance projects.
• Cloud professionals integrating BI with enterprise data systems.
• Consultants providing BI strategy and solutions.
• Data scientists preparing structured data for BI tools.
• Enterprise reporting professionals transitioning to modern BI.

Duration

5 days

Course Objectives

By the end of the course, participants will be able to:

• Understand the role of data engineering in BI ecosystems.
• Build scalable BI pipelines for Power BI and Tableau.
• Design effective data models for reporting and analytics.
• Ingest, transform, and integrate diverse enterprise data sources.
• Implement governance and security within BI workflows.
• Optimize performance of BI dashboards and queries.
• Enable real-time and streaming data visualization.
• Apply advanced techniques for predictive and AI-driven BI.
• Integrate BI solutions with cloud-native data systems.
• Apply best practices for sustainable BI data engineering strategies.

Comprehensive Course Outline

Module 1: Foundations of BI Data Engineering

• Principles of BI and the role of data engineering.
• Overview of Power BI and Tableau architectures.
• Data warehousing and star schema modeling.
• ETL/ELT workflows for BI integration.

Module 2: Data Ingestion and Integration

• Connecting to cloud and on-premises data sources.
• Ingesting structured, semi-structured, and unstructured data.
• API integration and data connectors.
• Automating ingestion workflows.

Module 3: Data Transformation for BI

• Data cleansing, preparation, and normalization.
• Handling hierarchies and relationships in BI data models.
• Dimensional modeling for reporting.
• Managing schema evolution and metadata.

Module 4: Power BI Engineering Practices

• Building optimized dataflows and datasets.
• DAX calculations and advanced measures.
• Designing interactive reports and dashboards.
• Performance tuning for large datasets.

Module 5: Tableau Engineering Practices

• Tableau data extracts and live connections.
• Calculated fields and advanced visualizations.
• Dashboard design principles and best practices.
• Performance optimization in Tableau.

Module 6: Governance and Security in BI

• Role-based access and permissions.
• Data lineage, cataloging, and auditing.
• Ensuring compliance with regulatory frameworks.
• Secure data collaboration across teams.

Module 7: Real-Time and Streaming BI

• Streaming pipelines for real-time dashboards.
• Integrating Kafka and event streams with BI tools.
• IoT and operational monitoring dashboards.
• Case studies of real-time BI applications.

Module 8: Advanced Analytics and AI in BI

• Embedding predictive models into BI dashboards.
• Natural language queries and AI features.
• Integrating ML outputs with Power BI and Tableau.
• Future of AI-driven BI solutions.

Module 9: Cloud-Native BI Architectures

• Deploying Power BI and Tableau in cloud ecosystems.
• Integration with Azure Synapse, AWS Redshift, and GCP BigQuery.
• Hybrid and multi-cloud BI strategies.
• Cost optimization and scaling BI workloads.

Module 10: Project and Future Trends

• End-to-end BI pipeline and dashboard project.
• Real-world case studies of BI engineering success.
• Emerging trends in BI and data visualization.
• Strategic planning for enterprise-wide BI adoption.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue

The training will be held at our Upskill Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment

Unless otherwise agreed between the two parties payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better