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Learning Apache Airflow

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Learning Apache Airflow (Size: 281 MB)
  01 - An overview of Apache Airflow.mp4 6.5 MB
  01 - An overview of Apache Airflow.srt 7.6 KB
  01 - Apache Airflow concepts and architecture.mp4 8.5 MB
  01 - Apache Airflow concepts and architecture.srt 9.8 KB
  01 - Catch up with all previously scheduled runs.mp4 15.9 MB
  01 - Catch up with all previously scheduled runs.srt 12.3 KB
  01 - Introducing branching.mp4 11.3 MB
  01 - Introducing branching.srt 9 KB
  01 - Introducing the Python operator.mp4 6.9 MB
  01 - Introducing the Python operator.srt 6.1 KB
  01 - Navigating and exploring the Airflow UI.mp4 15.7 MB
  01 - Navigating and exploring the Airflow UI.srt 12.6 KB
  01 - Setting up the SQLite DB and connection.mp4 4.1 MB
  01 - Setting up the SQLite DB and connection.srt 4.8 KB
  01 - Specifying task dependencies.mp4 8.9 MB
  01 - Specifying task dependencies.srt 6.9 KB
  01 - Summary and next steps.mp4 2.1 MB
  01 - Summary and next steps.srt 2.6 KB
  02 - Backfill scheduled runs.mp4 8.4 MB
  02 - Backfill scheduled runs.srt 5.5 KB
  02 - Conditional branching with variables.mp4 15.4 MB
  02 - Conditional branching with variables.srt 11.8 KB
  02 - Creating your first DAG.mp4 12.5 MB
  02 - Creating your first DAG.srt 9.3 KB
  02 - Initial setup macOS and Windows.mp4 9.5 MB
  02 - Initial setup macOS and Windows.srt 10.7 KB
  02 - Introducing the SQLite operator.mp4 5.3 MB
  02 - Introducing the SQLite operator.srt 4.4 KB
  02 - Python operators and dependencies.mp4 7.5 MB
  02 - Python operators and dependencies.srt 4.8 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 - 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
  03 - Passing parameters to Python callables.mp4 8.3 MB
  03 - Passing parameters to Python callables.srt 5.9 KB
  03 - Running your first DAG.mp4 12.1 MB
  03 - Running your first DAG.srt 9.9 KB
  03 - Task groups and edge labels.mp4 15.1 MB
  03 - Task groups and edge labels.srt 11.4 KB
  03 - Understanding Airflow configuration.mp4 12.5 MB
  03 - Understanding Airflow configuration.srt 7.1 KB
  03 - Using bash scripts in the DAG.mp4 9.3 MB
  03 - Using bash scripts in the DAG.srt 8.3 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 - 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
  04 - Introducing XCom.mp4 9.1 MB
  04 - Introducing XCom.srt 7.2 KB
  04 - Running Airflow.mp4 5.7 MB
  04 - Running Airflow.srt 6.3 KB
  05 - Using XCom to pass values.mp4 15 MB
  05 - Using XCom to pass values.srt 9.8 KB
  06 - Implementing a data transformation DAG pipeline, part 1.mp4 16 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
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  create_department_table.sql 102.4 B
  create_employee_table.sql 204.8 B
  cross_task_communication_01.py 1.2 KB
  cross_task_communication_02.py 1.5 KB
  demo01a_installing_airflow_macos.sh 4.9 KB
  demo01b_installing_airflow_windows.sh 307.2 B
  demo02_exploring_airflow_UI.sh 2.6 KB
  demo03_creating_our_first_DAG.sh 5.2 KB
  demo04_creating_DAG_with_multiple_tasks.sh 8.2 KB
  demo05_DAGs_using_python_operator.sh 4.1 KB
  demo10_taskgroups_and_edgelabels.sh 5.2 KB
  demo11_cron_catchup_backfill.sh 7.4 KB
  demo6_cross_task_communication.sh 3.2 KB
  demo7_python_pipeline.sh 5 KB
  demo8_sql_operators.sh 11.1 KB
  demo9_branching.sh 7 KB
  display_emp_dept.sql 102.4 B
  execute_multiple_tasks_01.py 716.8 B
  execute_multiple_tasks_02.py 1.3 KB
  execute_multiple_tasks_03.py 1.3 KB
  execute_multiple_tasks_04.py 1.3 KB
  execute_python_operators_01.py 614.4 B
  execute_python_operators_02.py 1.1 KB
  execute_python_operators_03.py 1 KB
  executing_branching_01.py 1.4 KB
  executing_branching_02.py 4.2 KB
  executing_branching_pipeline.py 3.3 KB
  executing_cron_catchup_backfill_01.py 1.4 KB
  executing_cron_catchup_backfill_02.py 1.5 KB
  executing_cron_catchup_backfill_03.py 1.5 KB
  executing_python_pipeline_01.py 716.8 B
  executing_python_pipeline_02.py 1.1 KB
  executing_python_pipeline_03.py 2.1 KB
  executing_sql_pipeline_01.py 921.6 B
  executing_sql_pipeline_02.py 2 KB
  executing_sql_pipeline_03.py 2.5 KB
  filtered_by_region.csv 12.4 KB
  grouped_by_region.csv 307.2 B
  grouped_by_smoker.csv 102.4 B
  insert_data_departments.sql 102.4 B
  insert_data_employees.sql 204.8 B
  insurance.csv 54.7 KB
  join_table.sql 307.2 B
  selected_cols.csv 25.8 KB
  simple_hello_world_01.py 614.4 B
  simple_hello_world_02.py 512 B
  taskA.sh 102.4 B
  taskB.sh 102.4 B
  taskC.sh 102.4 B
  taskD.sh 0 B
  taskE.sh 0 B
  taskF.sh 0 B
  taskG.sh 0 B
  visualizing_taskgroup_and_label.py 3.7 KB
  ▲ 123 total files

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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