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Build your first pipeline DAG | Apache airflow for beginners
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Welcome to series Apache airflow for beginners. In this video, you'll learn how to build your first pipeline DAG in Apache Airflow. As a Data Engineer, you will be tasked to write a data aggregation and cleaning pipeline. We are going to build an ETL pipeline as part of Airflow DAG with a real-world example of Hotel Reservation Records.
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Get complete code from here;
Watch next video
Airflow Macros
Watch the previous video here:
Run Airflow locally via Docker
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Timeline
00:00 intro
00:13 definition
00:40 DAG building blocks
01:39 Example - ingestion pipeline overview
03:05 Lets Code DAG
07:53 Lets deploy DAG
09:29 Examine DAG output
10:25 Ingest more data
11:17 Outro
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Learn Something New Below:
👍 If this video was helpful to you, please don't forget to thumbs-up,
⌨️ leave a comment and
🔗 share with your friends.
⭐ Support our work by hitting that subscribe button.
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Stay tuned !
Welcome to series Apache airflow for beginners. In this video, you'll learn how to build your first pipeline DAG in Apache Airflow. As a Data Engineer, you will be tasked to write a data aggregation and cleaning pipeline. We are going to build an ETL pipeline as part of Airflow DAG with a real-world example of Hotel Reservation Records.
---------------------------------------------------
Get complete code from here;
Watch next video
Airflow Macros
Watch the previous video here:
Run Airflow locally via Docker
--------------------------------------------------------
Timeline
00:00 intro
00:13 definition
00:40 DAG building blocks
01:39 Example - ingestion pipeline overview
03:05 Lets Code DAG
07:53 Lets deploy DAG
09:29 Examine DAG output
10:25 Ingest more data
11:17 Outro
--------------------------------------------------------
Learn Something New Below:
👍 If this video was helpful to you, please don't forget to thumbs-up,
⌨️ leave a comment and
🔗 share with your friends.
⭐ Support our work by hitting that subscribe button.
🔔 hit bell icon to stay alert on more upcoming interesting stuff.
Stay tuned !
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