Design a Finance Analytics Data Pipeline (Lakehouse Architecture) скачать в хорошем качестве

Design a Finance Analytics Data Pipeline (Lakehouse Architecture)

🚀 Want the full Finance Analytics Portfolio Project with deeper walkthroughs and more tables? 👉 https://www.portfoliostack.io/?utm_so... In this video, you’ll design a real finance analytics data pipeline by ingesting, structuring, cleaning and validating raw business data for reporting and analysis. You’ll step into the role of a junior data engineer / analyst as we build Raw → Bronze → Silver data layers using SQL and Python on top of DuckDB the same way how modern analytics teams prepare data before it ever reaches Power BI. This video is part of a hands-on finance analytics portfolio project, but it also stands on its own as a practical example of how professional analytics pipelines are designed in real organizations. 📁 Want to follow along? Set up your environment here as outlined 👉    • Set Up a Professional Analytics Workspace ...   Get the necessary data & files to follow this YouTube version here 👉 https://github.com/aliahmadportfolios... 🎥 Video Chapters 00:00 - Intro to Module 2 00:15 - Raw, Bronze & Silver Overview 05:09 - Environment Setup Reminder 06:28 - Exploring Raw Data 09:53 - Loading Data to Bronze 17:33 - Transforming Data in Silver 20:45 - Data Quality Checks 23:03 - Recap & What’s Next 📌 What You’ll Learn How Raw → Bronze → Silver architectures work in real analytics projects How to inspect messy operational data (dates, casing, mapping issues) How to load structured Bronze tables How to clean and transform raw data into reliable Silver datasets How to run simple data quality checks before modeling Next up in Module 3 we’ll take this cleaned Silver data and model it for reporting so make sure you’re set up and ready to build along! 🙌 Please like, subscribe and turn on notifications as more PortfolioStack projects are coming.