PinnedJimmy PanginData Pandadbt Models — Marts layer (i.e. Data Marts)Business facing entities, ready for reporting, ad-hoc analysis, Machine Learning and Reverse ETLs10 min read·Nov 11, 2023--1--1
PinnedJimmy PanginVestiaire Connected5 Tips To Improve Collaboration Between Data and Business TeamsHow to nurture healthy stakeholder relationships in an international scale-up organization.8 min read·Feb 16, 2023----
PinnedJimmy PanginData PandaThe voice of data among C-Level executives — A book review of The Chief Data Officer’s PlaybookI had my birthday a couple of months ago. It was the beginning of the quarter and the work schedule was fairly compact — I didn’t have the…11 min read·Dec 29, 2022--1--1
Jimmy PanginData PandaL & D — Learning & Development Resources for Data people in 2024A curated list for individual contributors and people managers in data11 min read·Feb 11, 2024----
Jimmy PanginData Pandadbt TestsA necessary assertion to ensure the reliablity of the building blocks6 min read·Nov 11, 2023--1--1
Jimmy PanginData Pandadbt Models — Staging layerThe basic building blocks of a dbt project.6 min read·Nov 11, 2023----
Jimmy PanginData PandaHow Agile could work in data teams — Scrum & KanbanOne of the possible ways to organize data team workflow9 min read·Sep 3, 2023----
Jimmy PanginData Pandadbt — The supernova in data & analytics engineeringWhat is dbt (Data Build Tool)?4 min read·Sep 1, 2023----
Jimmy PanginData PandaDashboarding SOP (Standard Operating Procedure) — How to build a dashboard, properlyDashboards — what it is and why it is still relevant5 min read·Jan 8, 2023--1--1
Jimmy PanginThe StartupData Science 101 for Startups- Aggregation in SQL — Part 2A simple tutorial of how to extract actionable insights for the business14 min read·Jul 21, 2020----