Features

Features
Certification:
  • TAK
Dedicated training:
Number of training hours:
  • 16
Producer:
Training language:
  • polski
Training level:
  • Średniozaawansowany
Type of training:
  • stacjonarnie; online

Description

Company Description

InfoShare Academy is a leading IT academy offering comprehensive educational programs in new technologies for companies. Since 2015, we have been supporting organizations in developing technology teams through dedicated courses in Machine Learning, DevOps, Data Engineering, Python, UX/UI Design, AWS, and Kubernetes. Our training is based on practical skills and real business cases. We collaborate with over 300 industry practitioners, ensuring that our programs are tailored to current market needs. We specialize in reskilling and upskilling employees. With us, you will build effective teams implementing new technologies that will accelerate innovation and strengthen your company's competitiveness in the market. Check out our training offerings designed for companies, created to enhance your employees' competencies in the IT field.

Training Description

Apache Airflow is an advanced tool for scheduling and managing workflows in a big data environment. It allows for the creation, monitoring, and automation of business processes based on recurring and one-time tasks. Airflow enables the definition of dependencies between individual tasks and their automatic execution in the correct order, increasing the efficiency and reliability of business processes.

Who is the training for
  • For Data Scientists and those working with large amounts of data.
  • For programmers with experience in Python.
  • For programmers dealing with software infrastructure.
  • For DevOps professionals.
Objectives

 

Benefits
  • You will learn:
  • Installation and configuration of the Apache AirFlow tool.
  • The architecture and components used in AirFlow.
  • How to create graphs (DAGs).
  • Data passing with XCom, branching, and task organization.
Training Program
  • Module 1 – Introduction

    • Historical overview (Airflow 1.0, Airflow 2.0)

    • Architecture overview (components)

    • Basic elements: DAG, instance, task

  • Module 2 – Creating graphs (DAGs)

    • Operators

    • Sensors

    • Hooks

    • Creating connections

  • Module 3 – Creating graphs (DAGs)

    • XCom – data passing

    • Branches – branching

    • Task organization – subDAG and groups

    • Creating connections

  • Additionally, the following elements will be covered:

    • Restarting DAGs

    • Resetting configuration

    • Catch option

    • Log verification

  • Optional modules to be implemented:

    • Building Airflow clusters (configuration of elements)

    • Using selected elements of DAGs

Duration

16 h/2 days

Price includes
  • Certificate of completion
  • Monthly access to the training recording (in case of online format)
  • Customization of the training program to client needs

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