LLM-native EL workshop on Data Talks Club
Blog post from dltHub
The blog post promotes a workshop hosted by DataTalks.Club on AI-assisted data ingestion with dlt, led by Aashish Nair, emphasizing a shift in data engineering from manual script writing to designing intelligent systems that automate repetitive tasks. The event, scheduled for February 17, 2026, aims to teach participants how to create modern ingestion systems where AI facilitates mechanical work, allowing engineers to focus on validation and safety. The workshop will include hands-on activities such as building a pipeline for the GitHub API, using tools like DuckDB, and validating results with a dashboard. It will also discuss the importance of skepticism towards LLMs, advocating for governance through code with built-in validation and observability. Participants are encouraged to bring their own challenging APIs for a hackathon and to join the dlt community to further explore the potential of AI in data engineering.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 16 | 6,195 | 1,018 | 248 | +27% |
| MCP | 7 | 4,921 | 488 | 178 | -5% |
| AI Agents | 2 | 4,811 | 1,028 | 262 | -4% |
| Observability | 2 | 4,176 | 700 | 182 | +22% |
| Serverless | 2 | 1,049 | 247 | 106 | +16% |
| Data Pipeline | 1 | 681 | 233 | 80 | -27% |
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