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mohmed19760ll/CBK-Kenya-economics-warehouse

Domaine:

socioeconomic

Type de record:

dataset
Créateur:
moh
Hôte:
Building a modern data warehouse with sql server and python , including ElETL processes, data modeling and analytics # CBK Kenya Economics Warehouse A data warehouse project built on Kenya's central bank data — monthly currency exchange rates (back to 1993) and interest/policy rates (back to 1991), sourced from the Central Bank of Kenya (CBK). The goal was to take two messy real-world CSVs and turn them into a proper, query-ready warehouse using the medallion (Bronze → Silver → Gold) architecture, then dig into the data for some actual insights about Kenya's economic history. Everything runs on Python + SQL Server (T-SQL). ## Why this project Most "beginner portfolio" data projects use datasets that have been cleaned a thousand times before (Titanic, Iris, etc). This one uses raw CBK exports — decades of real government data, complete with typos, inconsistent formatting, blank cells, and a currency (JPY) quoted per 100 units instead of per 1. The point was to practice actually wrangling messy data end-to-end, not just running `df.describe()` on something tidy. ## Architecture - **Source** — raw CBK CSVs (`datasets/`) - **Bronze** — raw data loaded as-is (everything as NVARCHAR, no transformations) via Python - **Silver** — cleaned and standardized: proper dates, typed numeric columns, fixed typos, consistent naming - **Gold** — business-ready star schema: dimension tables + fact tables, plus wide-format views for easy querying See `documents/data_flow_diagram.png` and `documents/data_mart(star schema).png` for more detail on how data moves through the layers and how the final star schema is laid out. ## Repo structure ``` datasets/ Raw CBK CSVs (exchange rates + interest rates) documents/ Architecture, data flow, and star schema diagrams (.drawio + .png) scripts/ bronze/ Python scripts that load the raw CSVs into SQL Server silver/ Schema setup, DDL, and stored procedure for the Silver layer gold/ DDL for dimension/fact tables, wide-format views, and the Gold load stored procedure checks/ …

Visit

github.com

Licenses

MIT