[{"title":"It seems like my life hasn't progressed at all","date":"2026-01-15T14:40:32.169Z","template":"post","draft":false,"slug":"2026-01-15---six-years-abroad-no-progress","category":"Life","tags":["Abroad","Friendship","Reflection"],"published":true,"description":"Three years in Germany, three in the UK, and the quiet feeling that everyone else moved on while I stayed somehow still.","footnotes":["Progress here is the kind that shows up in other people's timelines:titles, projects, applause. It is not the only kind that counts, but it is the kind that is hardest to ignore.","The initials are changed. The evenings, markets, and long winter nights are not."],"readingTime":"3 min read","image":"/media/featured-medallion.jpg"},{"title":"Vertex AI and dbt","date":"2025-03-15T14:40:32.169Z","template":"post","draft":false,"slug":"2025-03-15---Vertex-ai-dbt","category":"Data","tags":["Vertex AI","dbt"],"published":true,"description":"Bridging data science notebooks and dbt models with Vertex AI Feature Store.","footnotes":["Feature engineering in this post refers to time-aware aggregations that can be expressed in SQL and refreshed on a schedule.","Training-serving skew is reduced when the same dbt models feed both offline training tables and online feature lookup."],"readingTime":"2 min read","image":"/media/featured-vertex-ai.jpg"},{"title":"Just Another Secure View","date":"2025-02-15T14:40:32.169Z","template":"post","draft":false,"slug":"2025-02-15---Just-another-view","category":"Data","tags":["Dataform","dbt"],"published":true,"description":"Treating security as metadata so dbt can enforce access policy dynamically.","footnotes":["Secure views here mean policy-aware projections over warehouse tables, not a substitute for column-level access controls.","Tagging sensitive columns in a catalogue keeps the policy definition central while dbt macros apply it consistently."],"readingTime":"2 min read","image":"/media/featured-secure-view.jpg"},{"title":"Go for Gold: Towards the Medallion Architecture","date":"2025-02-10T14:40:32.169Z","template":"post","draft":false,"slug":"2025-02-10---medallion-architect","category":"Data","tags":["dbt","assertions","data quality"],"published":true,"description":"Organising lakehouse data into Bronze, Silver, and Gold layers for progressive quality.","footnotes":["Bronze, Silver, and Gold naming is conventional; some teams use Landing, Curated, and Serving for the same idea.","Assertions and tests are most valuable between Silver and Gold, where business definitions become contractual."],"readingTime":"10 min read","image":"/media/featured-medallion.jpg"},{"title":"Đôi dòng Python với PhoBERT","date":"2025-01-29T14:40:32.169Z","template":"post","draft":false,"slug":"2025-01-29--AI-cho-nguoi-viet","category":"AI","tags":["NLP","PhoBERT"],"published":true,"description":"Mấy năm trước, làm NLP cho tiếng Việt là một cuộc chiến. Dữ liệu thì ít, tool thì chắp vá, mô hình SOTA (state of the art) trên thế giới toàn nói tiếng Anh.…","readingTime":"5 min read"},{"title":"Saved My Budget","date":"2025-01-15T14:40:32.169Z","template":"post","draft":false,"slug":"2025-01-15---Saved-my-budget","category":"Data","tags":["Dataform","dbt"],"published":true,"description":"Our daily user activity model was the perfect candidate. Instead of materializing it as a table, we changed the config to materialized='incremental' and…","readingTime":"1 min read"},{"title":"Dataform Fundamentals","date":"2025-01-10T14:40:32.169Z","template":"post","draft":false,"slug":"2025-01-10---Dataform-fundamentals","category":"Data","tags":["Dataform","Data Architecture"],"published":true,"description":"Dataform is Google Cloud’s transformation framework to support the “T” in ELT workloads. It offers serverless orchestration, helps build transformation…","readingTime":"5 min read"},{"title":"📦 Deduplicating Data in BigQuery","date":"2024-12-30T14:40:32.169Z","template":"post","draft":false,"slug":"2024-12-30---deduplicate-data-bigquery","category":"Data Quality","tags":["Data Quality","assertions","data quality"],"published":true,"description":"Duplicate data can sneak into your datasets in many ways: bad joins, ingestion issues, or data entry errors. In BigQuery, deduplicating data is a common and…","readingTime":"1 min read"},{"title":"dbt assertions package","date":"2024-12-05T14:40:32.169Z","template":"post","draft":false,"slug":"2024-12-05---dbt-assertion-package","category":"Data","tags":["dbt","assertions","data quality"],"published":true,"description":"https://github.com/AxelThevenot/dbt assertions

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