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[ DevCourseWeb com ] Learning Apache Airflow
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Name:[ DevCourseWeb com ] Learning Apache Airflow
Infohash: 5A58C37A12E8809CB16F2BCE31F159E5D0175622
Total Size: 281.03 MB
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Last Updated: 2025-11-25 15:00:00 (Update Now)
Torrent added: 2023-07-27 22:00:43
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01 - Introduction
01 - An overview of Apache Airflow.mp4
01 - An overview of Apache Airflow.srt
02 - 1. Introducing Apache Airflow
01 - Apache Airflow concepts and architecture.mp4
01 - Apache Airflow concepts and architecture.srt
02 - Initial setup macOS and Windows.mp4
02 - Initial setup macOS and Windows.srt
03 - Understanding Airflow configuration.mp4
03 - Understanding Airflow configuration.srt
04 - Running Airflow.mp4
04 - Running Airflow.srt
03 - 2. Running Workflows on Airflow
01 - Navigating and exploring the Airflow UI.mp4
01 - Navigating and exploring the Airflow UI.srt
02 - Creating your first DAG.mp4
02 - Creating your first DAG.srt
03 - Running your first DAG.mp4
03 - Running your first DAG.srt
04 - Creating a DAG using the with keyword.mp4
04 - Creating a DAG using the with keyword.srt
04 - 3. Defining Tasks and Dependencies
01 - Specifying task dependencies.mp4
01 - Specifying task dependencies.srt
02 - Using the Bitshift operators for dependency specification.mp4
02 - Using the Bitshift operators for dependency specification.srt
03 - Using bash scripts in the DAG.mp4
03 - Using bash scripts in the DAG.srt
05 - 4. Using the Python Operator and XCom
01 - Introducing the Python operator.mp4
01 - Introducing the Python operator.srt
02 - Python operators and dependencies.mp4
02 - Python operators and dependencies.srt
03 - Passing parameters to Python callables.mp4
03 - Passing parameters to Python callables.srt
04 - Introducing XCom.mp4
04 - Introducing XCom.srt
05 - Using XCom to pass values.mp4
05 - Using XCom to pass values.srt
06 - Implementing a data transformation DAG pipeline, part 1.mp4
06 - Implementing a data transformation DAG pipeline, part 1.srt
07 - Implementing a data transformation DAG pipeline, part 2.mp4
07 - Implementing a data transformation DAG pipeline, part 2.srt
06 - 5. Using the SQLite Operator for SQL Operations
01 - Setting up the SQLite DB and connection.mp4
01 - Setting up the SQLite DB and connection.srt
02 - Introducing the SQLite operator.mp4
02 - Introducing the SQLite operator.srt
03 - Implementing a SQL-based DAG pipeline, part 1.mp4
03 - Implementing a SQL-based DAG pipeline, part 1.srt
04 - Implementing a SQL-based DAG pipeline, part 2.mp4
04 - Implementing a SQL-based DAG pipeline, part 2.srt
07 - 6. Conditional Branching and TaskGroups
01 - Introducing branching.mp4
01 - Introducing branching.srt
02 - Conditional branching with variables.mp4
02 - Conditional branching with variables.srt
03 - Task groups and edge labels.mp4
03 - Task groups and edge labels.srt
08 - 7. Catch Up, Backfill, and CRON Expressions
01 - Catch up with all previously scheduled runs.mp4
01 - Catch up with all previously scheduled runs.srt
02 - Backfill scheduled runs.mp4
02 - Backfill scheduled runs.srt
09 - Conclusion
01 - Summary and next steps.mp4
01 - Summary and next steps.srt
Bonus Resources.txt
Ex_Files_Learning_Apache_Airflow
Exercise Files
demo-01
demo01a_installing_airflow_macos.sh
demo01b_installing_airflow_windows.sh
demo-02
demo02_exploring_airflow_UI.sh
demo-03
demo03_creating_our_first_DAG.sh
versions
simple_hello_world_01.py
simple_hello_world_02.py
demo-04
bash_templates
taskA.sh
taskB.sh
taskC.sh
taskD.sh
taskE.sh
taskF.sh
taskG.sh
demo04_creating_DAG_with_multiple_tasks.sh
versions
bash_scripts
taskA.sh
taskB.sh
taskC.sh
taskD.sh
taskE.sh
taskF.sh
taskG.sh
execute_multiple_tasks_01.py
execute_multiple_tasks_02.py
execute_multiple_tasks_03.py
execute_multiple_tasks_04.py
demo-05
demo05_DAGs_using_python_operator.sh
versions
execute_python_operators_01.py
execute_python_operators_02.py
execute_python_operators_03.py
demo-06
demo6_cross_task_communication.sh
versions
cross_task_communication_01.py
cross_task_communication_02.py
demo-07
demo7_python_pipeline.sh
versions
datasets
insurance.csv
executing_python_pipeline_01.py
executing_python_pipeline_02.py
executing_python_pipeline_03.py
output
grouped_by_region.csv
grouped_by_smoker.csv
demo-08
demo8_sql_operators.sh
versions
executing_sql_pipeline_01.py
executing_sql_pipeline_02.py
executing_sql_pipeline_03.py
sql_statements
create_department_table.sql
create_employee_table.sql
display_emp_dept.sql
insert_data_departments.sql
insert_data_employees.sql
join_table.sql
demo-09
dags
executing_branching_pipeline.py
demo9_branching.sh
versions
executing_branching_01.py
executing_branching_02.py
demo-10
dags
visualizing_taskgroup_and_label.py
demo10_taskgroups_and_edgelabels.sh
output
filtered_by_region.csv
grouped_by_region.csv
grouped_by_smoker.csv
selected_cols.csv
demo-11
demo11_cron_catchup_backfill.sh
versions
executing_cron_catchup_backfill_01.py
executing_cron_catchup_backfill_02.py
executing_cron_catchup_backfill_03.py
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