Based on this YouTube video's total view count of 182K views and industry-standard rates, the estimated total earning is $127 - $364 through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.

Explore Data Engineering with Python and AI/LLMs – Data Loading Tutorial with 182,029 views, 3,921 likes, and 47 comments. Experience the impact of this video content that has captured audience attention.

Master data ingestion for data engineering with Python. Learn to tackle common pipeline failures like schema changes and API limits by adopting the mindset and practices of a senior platform engineer. This course covers essential techniques including extracting data from APIs, automatic schema management, incremental loading, and orchestrating scalable, automated workflows using modern tools. Course developed by Alexey Grigorev & Adrian Brudaru. 💻 Code: https://github.com/dlt-hub/dlthub-education/tree/main/courses/freecodecamp/de_with_dlt_2025 🏗️ dlthub.com provided a grant to make this course possible. ⭐️ Contents ⭐️ Alexey's part 0:00:00 1. Introduction 0:08:02 2. What is data ingestion 0:10:04 3. Extracting data: Data Streaming & Batching 0:14:00 4. Extracting data: Working with RestAPI 0:29:36 5. Normalizing data 0:43:41 6. Loading data into DuckDB 0:48:39 7. Dynamic schema management 0:56:26 8. What is next? Adrian's part 0:56:36 1. Introduction 0:59:29 2. Overview 1:02:08 3. Extracting data with dlt: dlt RestAPI Client 1:08:05 4. dlt Resources 1:10:42 5. How to configure secrets 1:15:12 6. Normalizing data with dlt 1:24:09 7. Data Contracts 1:31:05 8. Alerting schema changes 1:33:56 9. Loading data with dlt 1:33:56 10. Write dispositions 1:37:34 11. Incremental loading 1:43:46 12. Loading data from SQL database to SQL database 1:47:46 13. Backfilling 1:50:42 14. SCD2 1:54:29 15. Performance tuning 2:03:12 16. Loading data to Data Lakes & Lakehouses & Catalogs 2:12:17 17. Loading data to Warehouses/MPPs,Staging 2:18:15 18. Deployment & orchestration 2:18:15 19. Deployment with Git Actions 2:29:04 20. Deployment with Crontab 2:40:05 21. Deployment with Dagster 2:49:47 22. Deployment with Airflow 3:07:00 23. Create pipelines with LLMs: Understanding the challenge 3:10:35 24. Create pipelines with LLMs: Creating prompts and LLM friendly documentation 3:31:38 25. Create pipelines with LLMs: Demo 🎉 Thanks to our Champion and Sponsor supporters: 👾 Drake Milly 👾 Ulises Moralez 👾 Goddard Tan 👾 David MG 👾 Matthew Springman 👾 Claudio 👾 Oscar R. 👾 jedi-or-sith 👾 Nattira Maneerat 👾 Justin Hual -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

With SocialCounts.org’s view counter, track your YouTube video’s live view count and YouTube likes count in real time with fast, reliable updates.

Watch every YouTube video live view count rise with our real-time YouTube views tracker—built for accuracy and minimal delay.

Follow YouTube real time views as they happen, using our dedicated view counter for YouTube videos.

Get up-to-date live view count on YouTube and see real-time growth with SocialCounts.org’s smart tracking tools.