Learning Apache Airflow

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[ DevCourseWeb.com ] Learning Apache Airflow
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 - Introduction
    • 01 - An overview of Apache Airflow.mp4 (6.5 MB)
    • 01 - An overview of Apache Airflow.srt (7.6 KB)
    02 - 1. Introducing Apache Airflow
    • 01 - Apache Airflow concepts and architecture.mp4 (8.5 MB)
    • 01 - Apache Airflow concepts and architecture.srt (9.8 KB)
    • 02 - Initial setup macOS and Windows.mp4 (9.5 MB)
    • 02 - Initial setup macOS and Windows.srt (10.7 KB)
    • 03 - Understanding Airflow configuration.mp4 (12.5 MB)
    • 03 - Understanding Airflow configuration.srt (7.1 KB)
    • 04 - Running Airflow.mp4 (5.7 MB)
    • 04 - Running Airflow.srt (6.3 KB)
    03 - 2. Running Workflows on Airflow
    • 01 - Navigating and exploring the Airflow UI.mp4 (15.7 MB)
    • 01 - Navigating and exploring the Airflow UI.srt (12.6 KB)
    • 02 - Creating your first DAG.mp4 (12.5 MB)
    • 02 - Creating your first DAG.srt (9.3 KB)
    • 03 - Running your first DAG.mp4 (12.1 MB)
    • 03 - Running your first DAG.srt (9.9 KB)
    • 04 - Creating a DAG using the with keyword.mp4 (4.7 MB)
    • 04 - Creating a DAG using the with keyword.srt (4.2 KB)
    04 - 3. Defining Tasks and Dependencies
    • 01 - Specifying task dependencies.mp4 (8.9 MB)
    • 01 - Specifying task dependencies.srt (6.9 KB)
    • 02 - Using the Bitshift operators for dependency specification.mp4 (10.8 MB)
    • 02 - Using the Bitshift operators for dependency specification.srt (8.8 KB)
    • 03 - Using bash scripts in the DAG.mp4 (9.3 MB)
    • 03 - Using bash scripts in the DAG.srt (8.3 KB)
    05 - 4. Using the Python Operator and XCom
    • 01 - Introducing the Python operator.mp4 (6.9 MB)
    • 01 - Introducing the Python operator.srt (6.1 KB)
    • 02 - Python operators and dependencies.mp4 (7.5 MB)
    • 02 - Python operators and dependencies.srt (4.8 KB)
    • 03 - Passing parameters to Python callables.mp4 (8.3 MB)
    • 03 - Passing parameters to Python callables.srt (5.9 KB)
    • 04 - Introducing XCom.mp4 (9.1 MB)
    • 04 - Introducing XCom.srt (7.2 KB)
    • 05 - Using XCom to pass values.mp4 (15.0 MB)
    • 05 - Using XCom to pass values.srt (9.8 KB)
    • 06 - Implementing a data transformation DAG pipeline, part 1.mp4 (16.0 MB)
    • 06 - Implementing a data transformation DAG pipeline, part 1.srt (11.2 KB)
    • 07 - Implementing a data transformation DAG pipeline, part 2.mp4 (9.4 MB)
    • 07 - Implementing a data transformation DAG pipeline, part 2.srt (6.9 KB)
    06 - 5. Using the SQLite Operator for SQL Operations
    • 01 - Setting up the SQLite DB and connection.mp4 (4.1 MB)
    • 01 - Setting up the SQLite DB and connection.srt (4.8 KB)
    • 02 - Introducing the SQLite operator.mp4 (5.3 MB)
    • 02 - Introducing the SQLite operator.srt (4.4 KB)
    • 03 - Implementing a SQL-based DAG pipeline, part 1.mp4 (8.6 MB)
    • 03 - Implementing a SQL-based DAG pipeline, part 1.srt (6.7 KB)
    • 04 - Implementing a SQL-based DAG pipeline, part 2.mp4 (5.4 MB)
    • 04 - Implementing a SQL-based DAG pipeline, part 2.srt (4.2 KB)
    07 - 6. Conditional Branching and TaskGroups
    • 01 - Introducing branching.mp4 (11.3 MB)
    • 01 - Introducing branching.srt (9.0 KB)
    • 02 - Conditional branching with variables.mp4 (15.4 MB)
    • 02 - Conditional branching with variables.srt (11.8 KB)
    • 03 - Task groups and edge labels.mp4 (15.1 MB)
    • 03 - Task groups and edge labels.srt (11.4 KB)
    08 - 7. Catch Up, Backfill, and CRON Expressions
    • 01 - Catch up with all previously scheduled runs.mp4 (15.9 MB)
    • 01 - Catch up with all previously scheduled runs.srt (12.3 KB)
    • 02 - Backfill scheduled runs.mp4 (8.4 MB)
    • 02 - Backfill scheduled runs.srt (5.5 KB)
    09 - Conclusion
    • 01 - Summary and next steps.mp4 (2.1 MB)
    • 01 - Summary and next steps.srt (2.6 KB)
    • Bonus Resources.txt (0.4 KB)
      • Ex_Files_Learning_Apache_Airflow Exercise Files demo-01
      • demo01a_installing_airflow_macos.sh (4.9 KB)
      • demo01b_installing_airflow_windows.sh (0.3 KB)
      demo-02
      • demo02_exploring_airflow_UI.sh (2.6 KB)
      demo-03
      • demo03_creating_our_first_DAG.sh (5.2 KB)
        • versions
        • simple_hello_world_01.py (0.6 KB)
        • simple_hello_world_02.py (0.5 KB)
        demo-04 bash_templates
        • taskA.sh (0.1 KB)
        • taskB.sh (0.1 KB)
        • taskC.sh (0.1 KB)
        • taskD.sh (0.0 KB)
        • taskE.sh (0.0 KB)
        • taskF.sh (0.0 KB)
        • taskG.sh (0.0 KB)
        • demo04_creating_DAG_with_multiple_tasks.sh (8.2 KB)
          • versions bash_scripts
          • taskA.sh (0.1 KB)
          • taskB.sh (0.1 KB)
          • taskC.sh (0.1 KB)
          • taskD.sh (0.0 KB)
          • taskE.sh (0.0 KB)
          • taskF.sh (0.0 KB)
          • taskG.sh (0.0 KB)
          • execute_multiple_tasks_01.py (0.7 KB)
          • execute_multiple_tasks_02.py (1.3 KB)
          • execute_multiple_tasks_03.py (1.3 KB)
          • execute_multiple_tasks_04.py (1.3 KB)
            • demo-05
            • demo05_DAGs_using_python_operator.sh (4.1 KB)
              • versions
              • execute_python_operators_01.py (0.6 KB)
              • execute_python_operators_02.py (1.1 KB)
              • execute_python_operators_03.py (1.0 KB)
              demo-06
              • demo6_cross_task_communication.sh (3.2 KB)

                • Description

                Learning Apache Airflow



                https://DevCourseWeb.com

                Released 7/2023
                MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
                Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 2h 10m | Size: 281 MB

                Get an introduction to Apache Airflow with Google cloud architect and data engineer Janani Ravi. With Apache Airflow—an open-source platform for developing, scheduling, and monitoring batch oriented workflows— you can schedule individual tasks that you want to run as a part of your processing pipeline, specify dependencies between these tasks, all programmatically in Python. Airflow manages these dependencies and ensures that tasks are executed in the right order. Join Janani as she shows you how to run workflows in Airflow, define tasks and dependencies, and use Python and SQLite operators. Learn about conditional branching, and how catch up and backfill work in Apache Airflow.

                Homepage

                https://anonymz.com/...-apache-airflow



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Learning Apache Airflow

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281 MB
seeders:5
leechers:4
Learning Apache Airflow

Torrent hash: 5A58C37A12E8809CB16F2BCE31F159E5D0175622