Introduction

Apache Airflow is an open-source workflow orchestration platform designed to automate, schedule, and monitor complex data pipelines efficiently. In the context of Business Intelligence (BI), Airflow empowers organizations to streamline data ingestion, transformation, and analytics processes, ensuring timely and accurate reporting. Apache Airflow for Business Intelligence Training Course provides practical, hands-on training, enabling participants to design, deploy, and optimize workflows that drive actionable insights and enhance BI decision-making.

The training emphasizes real-world applications, industry-standard best practices, and scalable solutions for modern BI ecosystems. Participants will gain in-depth knowledge of Airflow architecture, DAG creation, task scheduling, and integration with data warehouses, ensuring robust automation for data-driven organizations.

Programme Curriculum

Apache Airflow for BI Training Course

Introduction

Course Objectives

Understand Apache Airflow architecture and core components for BI pipelines.
Master Directed Acyclic Graphs (DAGs) design and scheduling strategies.
Learn task dependencies, triggers, and workflow orchestration.
Implement advanced operators, sensors, and hooks for automation.
Integrate Airflow with popular BI tools and data warehouses.
Apply data quality checks and monitoring for reliable pipelines.
Automate ETL processes and optimize BI workflows.
Configure Airflow for scalability and high availability.
Manage Airflow security, user roles, and permissions.
Debug, test, and troubleshoot workflow errors effectively.
Employ logging and alert mechanisms for real-time monitoring.
Explore Airflow plugins and custom operator development.
Analyze case studies of Airflow implementations in BI projects.

Organizational Benefits

Streamlined data pipeline automation across teams
Improved decision-making through timely and accurate reports
Reduced manual intervention in ETL and data integration processes
Enhanced data quality and governance
Scalable workflow management for large BI environments
Increased operational efficiency with real-time monitoring
Cost optimization via optimized scheduling and resource allocation
Standardized BI processes with reusable workflows
Strong compliance adherence with audit-ready workflows
Empowered teams with Airflow skillsets for data engineering projects

Target Audiences

Data Engineers
Business Intelligence Analysts
Data Analysts
ETL Developers
Data Architects
BI Managers
Analytics Consultants
IT Professionals involved in data operations

Course Duration: 5 days

Course Modules

Module 1: Introduction to Apache Airflow

Airflow overview and ecosystem
Architecture and components (Scheduler, Webserver, Workers)
DAGs, tasks, and operators overview
Use cases in BI pipelines
Hands-on lab: Setting up Airflow environment
Case Study: Airflow deployment in a retail BI scenario

Module 2: Directed Acyclic Graphs (DAGs) Design

DAG creation and scheduling
Defining task dependencies
Parameterizing DAGs
Implementing retries and catchups
Best practices for DAG design
Case Study: DAG design for multi-source ETL in finance

Module 3: Task Orchestration and Workflow Automation

Operators, sensors, and hooks explained
Task execution and triggers
Branching and conditional workflows
Automating ETL pipelines
Handling failures and alerts
Case Study: Automating daily sales report workflows

Module 4: Airflow Integration with BI Tools

Connecting to databases and warehouses
Integration with Tableau, Power BI, and Looker
Extracting data from APIs
Loading data into BI tools
Real-time pipeline updates
Case Study: Airflow-Tableau integration for retail insights

Module 5: Monitoring and Logging

Airflow logging and tracking task progress
Setting up alerts and notifications
Monitoring SLA and workflow performance
Debugging task failures
Using metrics and dashboards
Case Study: Monitoring BI ETL pipeline for telecom data

Module 6: Advanced Airflow Features

Dynamic DAGs and templating
Custom operators and plugins
Parallel execution and concurrency management
Pools and resource management
Airflow CLI usage and automation scripts
Case Study: Scaling Airflow for e-commerce ETL

Module 7: Security and Governance

User roles, authentication, and permissions
Secrets management and encryption
Data access control
Auditing and compliance in Airflow
Workflow governance best practices
Case Study: Airflow security implementation in healthcare BI

Module 8: Performance Optimization and Troubleshooting

Optimizing DAG execution time
Efficient task retries and resource allocation
Debugging workflow failures
Best practices for high availability
Scaling Airflow horizontally
Case Study: Optimizing high-volume ETL pipelines for analytics

Training Methodology

Instructor-led sessions with practical demonstrations
Hands-on labs and exercises in real Airflow environments
Group discussions and knowledge sharing sessions
Case studies for real-world BI applications
Quizzes and assessments for concept reinforcement
Mentoring for DAG design and workflow optimization

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

MS Word Tableau Power BI and Looker

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000