21 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
22 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
28 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
29 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun |
Course Price At
21 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
22 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
28 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
29 Dec 2024 | 24 | 06:00 PM - 09:00 PM | Sat, Sun |
Course Price At
Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.
Course Price At
Apache Airflow is an open-source workflow management platform. Introduced by Airbnb in 2014, this platform is designed for data engineering pipelines. Multisoft Virtual Academy is providing Apache Airflow Training with updated course contents. This course is designed for technology aspirants who want to switch their career from conventional schedulers, experienced professionals who want to add a hot & demanding technology in their resume, data engineers who want to deploy their pipelines using Airflow in their company's projects.
Our offered 16-hour course is based on a few things such as the definition of Airflow, how it works, and the process of configuring Apache Airflow. Throughout this course, you will also learn how to install and configure Apache Airflow, how to use Sequential, Local and Celery Executors, how to implement solutions using Airflow to real data processing problems, and how to deal with the core functionalities such as DAGs, Tasks, Operators, and Workflows. Go for this Apache Airflow Training if you want to manage the company's increasingly complex workflows effectively!
In its successful completion, the aspirants will learn:
Apache Airflow Online Training is ideal for the Data engineers who want to deploy their pipelines with the use of Airflow, engineers who want to switch their career from conventional schedulers, and professionals who want to learn basic and advanced concepts about Apache Airflow.Â