Descriptions
The Complete Hands-On Introduction to Apache Airflow, Apache Airflow is an open-source platform to programmatically author, schedule and monitor workflows. If you have many ETL(s) to manage, Airflow is a must-have. In this course you are going to learn everything you need to start using Apache Airflow through theory and pratical videos. Starting from very basic notions such as, what is Airflow and how it works, we will dive into advanced concepts such as, how to create plugins and make real dynamic pipelines.
What you’ll learn
- Create plugins to add functionalities to Apache Airflow.
- Using Docker with Airflow and different executors
- Master core functionalities such as DAGs, Operators, Tasks, Workflows, etc
- Understand and apply advanced concepts of Apache Airflow such as XCOMs, Branching and SubDAGs.
- The difference between Sequential, Local and Celery Executors, how do they work and how can you use them.
- Use Apache Airflow in a Big Data ecosystem with Hive, PostgreSQL, Elasticsearch etc.
- Install and configure Apache Airflow
- Think, answer and implement solutions using Airflow to real data processing problems
Who this course is for
- People being curious about data engineering.
- People who want to learn basic and advanced concepts about Apache Airflow.
- People who like hands-on approach.
Specificatoin of The Complete Hands-On Introduction to Apache Airflow
- Publisher : Udemy
- Teacher : Marc Lamberti
- Language : English
- Level : All Levels
- Number of Course : 101
- Duration : 3 hours and 28 minutes
Content on 2024-7
Requirements
- At least 8 gigabytes of memory
- Some prior programming or scripting experience. Python experience will help you a lot but since it’s a very easy language to learn, it shouldn’t be too difficult if you are not familiar with.
Pictures
Sample Clip
Video Player
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Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Download Links
Password file(s): www.downloadly.ir
File size
705 MB
