Course Outline

Introduction to Apache Airflow for Government

  • Understanding Workflow Orchestration
  • Key Features and Benefits of Apache Airflow for Government
  • Enhancements in Airflow 2.x and Ecosystem Overview

Architecture and Core Concepts for Government

  • Scheduler, Web Server, and Worker Processes
  • Directed Acyclic Graphs (DAGs), Tasks, and Operators
  • Executors and Backends: Local, Celery, Kubernetes

Installation and Setup for Government

  • Installing Airflow in Local and Cloud Environments
  • Configuring Airflow with Different Executors
  • Setting Up Metadata Databases and Connections

Navigating the Airflow User Interface and Command Line for Government

  • Exploring the Airflow Web Interface
  • Monitoring DAG Runs, Tasks, and Logs
  • Using the Airflow CLI for Administration

Authoring and Managing DAGs for Government

  • Creating DAGs with the TaskFlow API
  • Utilizing Operators, Sensors, and Hooks
  • Managing Dependencies and Scheduling Intervals

Integrating Airflow with Data and Cloud Services for Government

  • Connecting to Databases, APIs, and Message Queues
  • Executing ETL Pipelines with Airflow
  • Cloud Integrations: AWS, GCP, Azure Operators

Monitoring and Observability for Government

  • Task Logs and Real-Time Monitoring
  • Metrics with Prometheus and Grafana
  • Alerting and Notifications via Email or Slack

Securing Apache Airflow for Government

  • Role-Based Access Control (RBAC)
  • Authentication with LDAP, OAuth, and SSO
  • Secrets Management with Vault and Cloud Secret Stores

Scaling Apache Airflow for Government

  • Parallelism, Concurrency, and Task Queues
  • Utilizing CeleryExecutor and KubernetesExecutor
  • Deploying Airflow on Kubernetes with Helm

Best Practices for Production Use in Government

  • Version Control and CI/CD for DAGs
  • Testing and Debugging DAGs
  • Maintaining Reliability and Performance at Scale

Troubleshooting and Optimization for Government

  • Debugging Failed DAGs and Tasks
  • Optimizing DAG Performance
  • Common Pitfalls and Strategies to Avoid Them

Summary and Next Steps for Government

Requirements

  • Proficiency in Python programming
  • Knowledge of data engineering or DevOps principles
  • Comprehension of ETL processes and workflow orchestration

Audience for Government

  • Data Scientists
  • Data Engineers
  • DevOps and Infrastructure Engineers
  • Software Developers
 21 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Testimonials (7)

The instructor adapted the training to the participants’ level and responded to all questions. He was very communicative, and it was easy to interact with him. I really appreciated the format of the training, which included many practical exercises. Overall, it was a very engaging and well-organized session.

Jacek Chlopik - ZAKLAD UBEZPIECZEN SPOLECZNYCH
Course - Apache Airflow: Building and Managing Data Pipelines

The training was spot on. Very useful theory and exercices.

Vladimir - PUBLIC COURSE
Course - Apache Airflow

The training was spot on in all aspects. Usefull theoretical aspects and exercises.

Vladimir - PUBLIC COURSE
Course - Apache Airflow

The training was spot on in all aspects. Usefull theoretical aspects and exercises.

Vladimir - PUBLIC COURSE
Course - Apache Airflow

The training was spot on in all aspects. Usefull theoretical aspects and exercises.

Vladimir - PUBLIC COURSE
Course - Apache Airflow

The training was spot on in all aspects. Usefull theoretical aspects and exercises.

Vladimir - PUBLIC COURSE
Course - Apache Airflow

The training was spot on in all aspects. Usefull theoretical aspects and exercises.

Vladimir - PUBLIC COURSE
Course - Apache Airflow

Upcoming Courses

Apache Airflow: Building and Managing Data Pipelines

2026-02-06 09:30
21 hours
Louisville, KY – Regus at MET Building
$ 4054 (Online)
$ 5854 (Classroom)

Apache Airflow: Building and Managing Data Pipelines

2026-02-20 09:30
21 hours
Madison, WI - Regus - Madison East - Park Bank Plaza
$ 4054 (Online)
$ 5854 (Classroom)

Apache Airflow: Building and Managing Data Pipelines

2026-03-06 09:30
21 hours
Bangor, Maine
$ 4054 (Online)
$ 5854 (Classroom)

Apache Airflow: Building and Managing Data Pipelines

2026-03-20 09:30
21 hours
Manchester, NH – Regus at 1087 Elm Street
$ 4054 (Online)
$ 5854 (Classroom)

Apache Airflow: Building and Managing Data Pipelines

2026-04-03 09:30
21 hours
Memphis, TN - Regus at International Dr
$ 4054 (Online)
$ 5854 (Classroom)

Apache Airflow: Building and Managing Data Pipelines

2026-04-17 09:30
21 hours
Kansas City, MO - Regus – Two Pershing Square (Crown Center)
$ 4054 (Online)
$ 5854 (Classroom)

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