I Thought Loading Data Was the Finish Line. It Was the Starting Point.
Data Engineering I Thought Loading Data Was the Finish Line. Building my first dbt models and learning what “analysis-ready” data actually means Ibrahim Salami Aug 9, 2026 11 min read Share Architectural Diagram Generated by Gemini AI When I started this journey, I gave myself a 12-month roadmap to go from data analyst to data engineer. In that short stretch I’ve already built two ETL pipelines from scratch, the first one pulling GitHub repo data into SQLite, the second one pulling RSS articles into PostgreSQL with Docker and Kestra handling the orchestration.
- ▪Data Engineering I Thought Loading Data Was the Finish Line.
- ▪Building my first dbt models and learning what “analysis-ready” data actually means Ibrahim Salami Aug 9, 2026 11 min read Share Architectural Diagram Generated by Gemini AI When I started this journey, I gave myself a 12-month roadmap to g
- ▪In that short stretch I’ve already built two ETL pipelines from scratch, the first one pulling GitHub repo data into SQLite, the second one pulling RSS articles into PostgreSQL with Docker and Kestra handling the orchestration.
Towards Data Science files mainly under ai. We currently carry 128 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Towards Data Science |
| Canonical URL | https://towardsdatascience.com/i-thought-loading-data-was-the-finish-line-it-was-the-starting-point/ |
| Publication time | Sun, 09 Aug 2026 15:00:00 +0000 |
| Retrieval time | 2026-08-09T15:05:43.955Z |
| Last seen | 2026-08-09T15:05:43.955Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | HdwoOwbULp_g · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Data Engineering I Thought Loading Data Was the Finish Line. It Was the Starting Point. Building my first dbt models and learning what “analysis-ready” data actually means Ibrahim Salami Aug 9, 2026 11 min read Share Architectural Diagram Generated by Gemini AI When I started this journey, I gave myself a 12-month roadmap to go from data analyst to data engineer. I’m only about two months into it. In that short stretch I’ve already built two ETL pipelines from scratch, the first one pulling GitHub repo data into SQLite, the second one pulling RSS articles into PostgreSQL with Docker and Kestra handling the orchestration. I wrote about scheduling that second pipeline to run automatically every hour, and at the time, that felt like a real milestone.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Towards Data Science.
Discussion
0 commentsMore from Towards Data Science
