Ideal for teams that…
Hands-on AI and data analytics workshops — built around your team's real cases.
Installation and configuration of Apache Airflow
Understanding Airflow architecture and components
Creating DAGs (Directed Acyclic Graphs) and defining tasks
Passing data between tasks using XCom
Implementing branching and task organization
Managing subDAGs and task groups
Monitoring and debugging workflows
DAG restart options, configuration resets, and log analysis
What we actually do
- · History of Apache Airflow (Airflow 1.0 vs Airflow 2.0)
- · Overview of Airflow architecture and components
- · Core elements: DAG, Instance, Task
- · Operators, Sensors, Hooks
- · Creating connections and configuring tasks
- · XCom – passing data between tasks
- · Branching – conditional task execution
- · Task organization – subDAGs and task groups
- · Monitoring and analyzing logs
- · DAG restart options and configuration resets
- · Building and configuring Apache Airflow clusters
- · Using advanced DAG features
From brief to retro in 30 days.
Brief & diagnosis
A call with the team lead + a short survey for participants. We define goals, gap and context.
Program customization
We adapt modules, case studies and code examples to your stack. Approval in 5 days.
Workshop
Trainer-led sessions, hands-on, code review. Mentor available between sessions too.
Retro + report
Outcome report for the team and lead. 30 days of consulting included.
Send a brief. We'll reply within 1 day.
After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.
Thank you!
We'll get back to you within 1 business day.
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