[udemy] The Complete Hands-on Introduction to Airbyte

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 480.5 MB
  • Uploaded By SunRiseZone
  • Downloads 389
  • Last checked 2 hours ago
  • Date uploaded 1 year ago
  • Seeders 17
  • Leechers 3

Infohash : 2171960EE66C07FD5F251EAC81268CA0A40723B5



📝 Request a Course: 👉 docs.google.com/forms

🔗 Official Course URL: udemy.com/course/the-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.

Files:

The Complete Hands-on Introduction to Airbyte
  • 001-Welcome-u6VV-english-onehack.us.srt (4.3 KB)
  • 001-Welcome-u6VV-onehack.us.mp4 (4.6 MB)
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  • 021-Connector-classifications-Certified-Community-etc-tgAk-english-onehack.us.srt (3.9 KB)
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  • 023-How-does-a-sync-work-OtII-english-onehack.us.srt (7.4 KB)
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  • 027-Discover-the-sync-modes-blIQ-english-onehack.us.srt (19.3 KB)
  • 027-Discover-the-sync-modes-blIQ-onehack.us.mp4 (30.1 MB)
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  • 028-Handling-schema-changes-gJ3H-english-onehack.us.srt (11.2 KB)
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  • 029-What-is-Change-Data-Capture-CDC-gWIE-english-onehack.us.srt (3.3 KB)
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  • 030-Enable-CDC-with-Postgres-pIpT-english-onehack.us.srt (8.0 KB)
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  • 031-Syncing-data-between-Postgres-and-BigQuery-using-CDC-OZ7n-english-onehack.us.srt (11.0 KB)
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  • 035-Project-overview-cwFH-english-onehack.us.srt (4.8 KB)
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  • 036-Learning-recommendations-Hd0o-english-onehack.us.srt (2.9 KB)
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  • 036-Learning-recommendations-Hd0o-persian-onehack.us.srt (3.9 KB)
  • 037-The-Setup-and-requirements-ZbF5-english-onehack.us.srt (4.6 KB)
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  • 038-The-Data-Generators-Python-Scripts-6fH7-english-onehack.us.srt (3.1 KB)
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  • 038-The-Data-Generators-Python-Scripts-6fH7-persian-onehack.us.srt (4.6 KB)
  • 039-Quick-introduction-to-Apache-Airflow-K16H-english-onehack.us.srt (5.3 KB)
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  • 040-Let-s-generate-some-data-ZjY7-english-onehack.us.srt (5.6 KB)
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  • 041-Set-up-the-S3-bucket-with-the-user-Yj5c-english-onehack.us.srt (5.0 KB)
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  • 042-Create-the-AWS-S3-destination-with-Airbyte-SDNr-english-onehack.us.srt (3.8 KB)
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  • 043-Create-the-Postgres-to-S3-connection-with-Airbyte-0TPd-english-onehack.us.srt (1.8 KB)
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  • 044-Create-the-MySQL-source-with-Airbyte-q7zv-english-onehack.us.srt (1.9 KB)
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  • 045-Create-the-MySQL-to-S3-connection-with-Airbyte-nMSe-english-onehack.us.srt (1.2 KB)
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  • 047-What-s-the-Write-Audi-Publish-pattern-KwoO-english-onehack.us.srt (2.2 KB)
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  • 048-Create-the-AWS-S3-source-with-Airbyte-lUiI-english-onehack.us.srt (5.9 KB)
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  • 049-Create-the-Snowflake-destination-with-Airbyte-nBft-english-onehack.us.srt (4.5 KB)
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  • 050-Create-the-Raw-to-Staging-connection-with-Airbyte-Lt5C-english-onehack.us.srt (2.3 KB)
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  • 052-Quick-introduction-to-Soda-JR2c-english-onehack.us.srt (2.7 KB)
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  • 053-Write-data-quality-checks-with-Soda-hiVp-english-onehack.us.srt (11.5 KB)
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  • 054-Create-the-customer-metrics-table-with-dbt-709S-english-onehack.us.srt (7.2 KB)
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  • 055-Create-the-Fraud-Data-Pipeline-with-Airflow-FVMu-english-onehack.us.srt (17.6 KB)
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  • 056-The-pipeline-in-action-52MK-english-onehack.us.srt (3.7 KB)
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  • exercise_files
    • 2.-Airbyte-Fundamentals-__-7.-Quiz.html (0.2 KB)
    • 3.-Getting-started-with-Airbyte-__-11.-Quiz.html (0.2 KB)
    • 3.-Getting-started-with-Airbyte-__-4.1-transactions.xlsx (15.1 KB)
    • 4.-Advanced-Concepts-__-10.-The-Sync-Modes-cheat-sheet.html (3.0 KB)
    • 4.-Advanced-Concepts-__-11.-CDC-under-the-hood.html (0.3 KB)
    • 4.-Advanced-Concepts-__-12.-Quiz.html (0.2 KB)
    • 4.-Advanced-Concepts-__-2.-Create-a-new-source-Postgres.html (0.2 KB)
    • 4.-Advanced-Concepts-__-4.-Add-some-data-Postgres.html (0.2 KB)
    • 5.-The-Fraud-Project-__-12.-Lets-try-to-sync-data.html (0.2 KB)
    • 5.-The-Fraud-Project-__-17.-Lets-write-the-data-into-staging.html (0.2 KB)
    • airbyte
      • airbyte-docker-compose.yml (14.3 KB)
      • flags.yml (1.6 KB)
      • temporal dynamicconfig
        • development.yaml (1.1 KB)
        airbyte_project
        • Dockerfile (0.5 KB)
        • README (0.1 KB)
        • dags __pycache__
          • customer_metrics.cpython-311.pyc (3.6 KB)
          • generate-data.cpython-311.pyc (1.5 KB)
          • generate_data.cpython-311.pyc (1.5 KB)
          • generate_data.py (0.7 KB)
          • docker-compose.yml (21.4 KB)
          • flags.yml (1.6 KB)
          • include dbt fraud
            • README.md (0.6 KB)
            • __pycache__
              • cosmos_config.cpython-311.pyc (0.6 KB)
            • cosmos_config.py (0.3 KB)
            • dbt_project.yml (1.1 KB)
            • logs
              • dbt.log (144.8 KB)
            • profiles.yml (0.3 KB)
            • target compiled fraud models
              • customer_metrics.sql (0.8 KB)
              • customer_transactions.sql (0.1 KB)
              • labeled_transactions.sql (0.1 KB)
              • graph.gpickle (3.3 KB)
              • graph_summary.json (0.3 KB)
              • manifest.json (411.2 KB)
              • partial_parse.msgpack (418.7 KB)
              • run fraud models
                • customer_metrics.sql (1.0 KB)
                • customer_transactions.sql (0.3 KB)
                • labeled_transactions.sql (0.2 KB)
              • run_results.json (4.2 KB)
              • semantic_manifest.json (0.2 KB)
              • logs
                • dbt.log (2.4 KB)
                • s3-iam-policy.json (0.4 KB)
                • scripts __pycache__
                  • detection_generator.cpython-311.pyc (4.4 KB)
                  • transaction_generator.cpython-311.pyc (4.4 KB)
                  • detection_generator.py (2.7 KB)
                  • transaction_generator.py (2.7 KB)
                  • soda __pycache__
                    • helpers.cpython-311.pyc (1.3 KB)
                    • configuration.yml (0.4 KB)
                    • helpers.py (0.7 KB)
                    • logs dag_id=customer_metrics run_id=scheduled__2024-03-02T00:00:00+00:00 task_id=airbyte_jobs_done
                      • attempt=1.log (2.2 KB)
                      task_id=audit_customer_transactions
                      • attempt=1.log (16.8 KB)
                      task_id=audit_labeled_transactions
                      • attempt=1.log (16.8 KB)
                      task_id=load_customer_transactions_raw
                      • attempt=1.log (11.9 KB)
                      task_id=load_labeled_transactions_raw
                      • attempt=1.log (11.9 KB)
                      task_id=publish.customer_metrics_run
                      • attempt=1.log (6.0 KB)
                      task_id=publish.customer_transactions_run
                      • attempt=1.log (6.1 KB)
                      task_id=publish.labeled_transactions_run
                      • attempt=1.log (6.1 KB)
                      task_id=quality_checks_done
                      • attempt=1.log (2.2 KB)
                      task_id=write_to_staging
                      • attempt=1.log (3.1 KB)
                      dag_id=generate_data run_id=scheduled__2024-03-01T00:00:00+00:00 task_id=generate_fraud_data
                      • attempt=1.log (2.3 KB)
                      task_id=generate_transaction_data
                      • attempt=1.log (4.1 KB)
                      • attempt=2.log (2.3 KB)
                      run_id=scheduled__2024-03-02T00:00:00+00:00 task_id=generate_fraud_data
                      • attempt=1.log (2.5 KB)
                      task_id=generate_transaction_data
                      • attempt=1.log (4.0 KB)
                      dag_processor_manager
                      • dag_processor_manager.log (3.0 MB)
                      • dbt.log (2.4 KB)
                      • scheduler 2024-03-02
                        • generate-data.py.log (55.7 KB)
                        • generate_data.py.log (169.5 KB)
                        • native_dags example_dags
                          • example_bash_operator.py.log (272.2 KB)
                          • example_branch_datetime_operator.py.log (398.3 KB)
                          • example_branch_day_of_week_operator.py.log (288.9 KB)
                          • example_branch_labels.py.log (270.9 KB)
                          • example_branch_operator.py.log (273.7 KB)
                          • example_branch_operator_decorator.py.log (290.5 KB)
                          • example_branch_python_dop_operator_3.py.log (289.5 KB)
                          • example_complex.py.log (255.2 KB)
                          • example_dag_decorator.py.log (262.4 KB)
                          • example_datasets.py.log (490.3 KB)
                          • example_dynamic_task_mapping.py.log (280.7 KB)
                          • 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)
                          • example_local_kubernetes_executor.py.log (279.3 KB)
                          • 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 (268.0 KB)
                          • example_python_operator.py.log (266.5 KB)
                          • example_sensor_decorator.py.log (266.7 KB)
                          • example_sensors.py.log (254.0 KB)
                          • example_setup_teardown.py.log (272.3 KB)
                          • example_setup_teardown_taskflow.py.log (286.3 KB)
                          • example_short_circuit_decorator.py.log (284.9 KB)
                          • example_short_circuit_operator.py.log (283.5 KB)
                          • example_skip_dag.py.log (263.8 KB)
                          • example_sla_dag.py.log (263.7 KB)
                          • example_subdag_operator.py.log (470.0 KB)
                          • example_task_group.py.log (266.6 KB)
                          • example_task_group_decorator.py.log (280.7 KB)
                          • example_time_delta_sensor_async.py.log (276.5 KB)
                          • example_trigger_controller_dag.py.log (283.5 KB)
                          • example_trigger_target_dag.py.log (269.5 KB)
                          • example_xcom.py.log (258.2 KB)
                          • example_xcomargs.py.log (302.6 KB)
                          • plugins
                            • event_listener.py.log (198.5 KB)
                            • listener_plugin.py.log (199.5 KB)
                            • workday.py.log (190.6 KB)
                            subdags
                            • subdag.py.log (190.5 KB)
                          • 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)
                          • 2024-03-03
                            • customer_metrics.py.log (830.1 KB)
                            • generate_data.py.log (1.3 MB)
                            2024-03-05
                            • generate_data.py.log (23.1 KB)
                            latest
                            • generate_data.py.log (23.1 KB)
                            temporal dynamicconfig
                            • development.yaml (1.1 KB)
                          • 📝-Request-a-Course-👉.txt (0.3 KB)

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