About This Architecture

Solution BI M2P is a modern data lakehouse architecture ingesting Excel, Benchmark, MAC, and PLOC files into MinIO object storage, then orchestrating extraction and normalization via Apache Airflow and Python scripts. Raw data flows through PostgreSQL staging tables, undergoes dbt transformations with data quality tests, and materializes into a dimensional data warehouse with conformed dimensions and fact tables. Power BI dashboards consume analytical views and machine learning forecasting outputs to deliver KPI visualizations for business users and decision makers. This architecture demonstrates enterprise-grade data governance, traceability via MD5 checksums, and separation of concerns across eight layers from ingestion to analytics. Fork and customize this diagram on Diagrams.so to adapt the pipeline for your own multi-source BI requirements.

People also ask

How do I build a scalable data lakehouse pipeline that ingests multiple file formats, applies data quality checks, and feeds Power BI dashboards?

Solution BI M2P demonstrates a production-grade architecture: ingest Excel, Benchmark, MAC, and PLOC files into MinIO, orchestrate extraction via Apache Airflow with Python scripts and MD5 traceability, stage data in PostgreSQL, transform with dbt and quality tests, load a dimensional warehouse, and expose analytical views to Power BI with ML forecasting for KPI visualization.