Building resilient pipelines in minutes with dlt + Prefect
Blog post from dltHub
dlt` is an open-source library that simplifies data pipeline building by abstracting away the need to manually handle various tools and APIs. With `dlt`, users can build a Slack-to-BigQuery pipeline in just a few seconds with a single command. The pipeline is then extended with Prefect, a workflow orchestration tool that adds scheduling, observability, and automations to make the pipeline resilient. Prefect's Pythonic API allows users to easily turn their pipelines into scheduled, repeatable workflows. By combining `dlt` and Prefect, users can quickly build resilient data pipelines without having to manually handle failure cases, making it easier to get into production.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Data Pipeline | 1 | 337 | 137 | 83 | +2% |
| Observability | 1 | 1,305 | 282 | 93 | -2% |
| Secrets Management | 1 | 930 | 136 | 65 | +73% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.