[udemy] The Complete Hands-on Introduction to Airbyte

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[udemy] The Complete Hands-on Introduction to Airbyte (Size: 480.5 MB)
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  ????-Request-a-Course-????.txt 307.2 B
  Dockerfile 512 B
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  README.md 614.4 B
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  cosmos_config.py 307.2 B
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  customer_metrics.py.log 830.1 KB
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  example_branch_day_of_week_operator.py.log 288.9 KB
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  example_dag_decorator.py.log 262.4 KB
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  example_dynamic_task_mapping_with_no_taskflow_operators.py.log 318.6 KB
  example_external_task_marker_dag.py.log 326.7 KB
  example_kubernetes_executor.py.log 270.9 KB
  example_latest_only.py.log 264.8 KB
  example_latest_only_with_trigger.py.log 284.5 KB
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  example_nested_branch_dag.py.log 276.5 KB
  example_params_trigger_ui.py.log 268.1 KB
  example_params_ui_tutorial.py.log 270.8 KB
  example_passing_params_via_test_command.py.log 297.6 KB
  example_python_decorator.py.log 268 KB
  example_python_operator.py.log 266.5 KB
  example_sensor_decorator.py.log 266.7 KB
  example_sensors.py.log 254 KB
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  helpers.py 716.8 B
  labeled_transactions.sql 204.8 B
  listener_plugin.py.log 199.5 KB
  manifest.json 411.2 KB
  partial_parse.msgpack 418.7 KB
  profiles.yml 307.2 B
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  semantic_manifest.json 204.8 B
  subdag.py.log 190.5 KB
  transaction_generator.cpython-311.pyc 4.4 KB
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  tutorial.py.log 252.6 KB
  tutorial_dag.py.log 249.8 KB
  tutorial_objectstorage.py.log 263.8 KB
  tutorial_taskflow_api.py.log 262.4 KB
  tutorial_taskflow_api_virtualenv.py.log 277.9 KB
  workday.py.log 190.6 KB
  ▲ 262 total files

Description


???? Request a Course: ???? docs.google.com/forms

???? Official Course URL: udemy.com/course/complete-hands-on-introduction-to-airbyte

???? Course Overview:
Master Airbyte, the powerful open-source data integration tool , in this beginner-friendly course by Marc Lamberti. Learn to consolidate data from various sources into your data warehouses or databases seamlessly. Discover how to use Airbyte alongside tools like Apache Airflow, dbt, and Snowflake to build robust pipelines. With 56 practical lessons, this course equips you to run efficient data synchronizations, set up notifications, and manage data pipelines effectively.

???? What You'll Learn:
- ???? Airbyte Essentials: Understand its architecture, features, and role in data integration.
- ????️ Hands-On Setup: Install and configure Airbyte locally with Docker and Kubernetes.
- ???? Data Integration: Connect Airbyte to multiple sources and destinations for seamless syncs.
- ???? Pipeline Building: Create end-to-end pipelines with dbt, Airflow, Postgres, Snowflake, and more.
- ???? Best Practices: Optimize workflows, set up monitoring, and manage notifications efficiently.

???? Course Benefits:
- ✅ Beginner-Friendly Approach: Perfect for those starting in data integration and pipeline building.
- ✅ Extensive Toolset: Learn how to use Airbyte with complementary tools like dbt and Snowflake.
- ✅ Practical Learning: Apply knowledge through hands-on exercises and a real-world project.
- ✅ Lifetime Access: Revisit content anytime with lifetime course access.

⏱️ Total Hours of Course: 3 hours 17 minutes
????️ Course Size: 480.4 MB
???? Subtitles: English, Persian

Who is this course for?
This course is designed for Data Engineers, Analytics Engineers, and Data Architects looking to integrate Airbyte into their workflows efficiently.

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