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0:43:41 6. Loading data into DuckDB
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Classroom Contents
Data Engineering with Python and AI/LLMs - Data Loading Tutorial
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- 1 0:00:00 1. Introduction
- 2 0:08:02 2. What is data ingestion
- 3 0:10:04 3. Extracting data: Data Streaming & Batching
- 4 0:14:00 4. Extracting data: Working with RestAPI
- 5 0:29:36 5. Normalizing data
- 6 0:43:41 6. Loading data into DuckDB
- 7 0:48:39 7. Dynamic schema management
- 8 0:56:26 8. What is next?
- 9 0:56:36 1. Introduction
- 10 0:59:29 2. Overview
- 11 1:02:08 3. Extracting data with dlt: dlt RestAPI Client
- 12 1:08:05 4. dlt Resources
- 13 1:10:42 5. How to configure secrets
- 14 1:15:12 6. Normalizing data with dlt
- 15 1:24:09 7. Data Contracts
- 16 1:31:05 8. Alerting schema changes
- 17 1:33:56 9. Loading data with dlt
- 18 1:33:56 10. Write dispositions
- 19 1:37:34 11. Incremental loading
- 20 1:43:46 12. Loading data from SQL database to SQL database
- 21 1:47:46 13. Backfilling
- 22 1:50:42 14. SCD2
- 23 1:54:29 15. Performance tuning
- 24 2:03:12 16. Loading data to Data Lakes & Lakehouses & Catalogs
- 25 2:12:17 17. Loading data to Warehouses/MPPs,Staging
- 26 2:18:15 18. Deployment & orchestration
- 27 2:18:15 19. Deployment with Git Actions
- 28 2:29:04 20. Deployment with Crontab
- 29 2:40:05 21. Deployment with Dagster
- 30 2:49:47 22. Deployment with Airflow
- 31 3:07:00 23. Create pipelines with LLMs: Understanding the challenge
- 32 3:10:35 24. Create pipelines with LLMs: Creating prompts and LLM friendly documentation
- 33 3:31:38 25. Create pipelines with LLMs: Demo
