#Data-pipeline-monitoring
Showing 4 of 4 repositories tagged #data-pipeline-monitoring, ranked by stars
This dbt package captures metadata, artifacts, and test results so you can detect anomalies, monitor data quality, and build metadata tables. It powers Elementary OSS and feeds the wider context layer used by Elementary Cloud’s full Data & AI Control Plane.
Easiest way to monitor asynchronous data pipelines
Real-Time M-Pesa Transaction Streaming Pipeline built using modern data engineering technologies to ingest, process, stream, and analyze transaction data in real time. Demonstrates event-driven architecture, stream processing, data pipelines, and scalable analytics for fintech applications.
Building a next-generation hybrid data pipeline architecture that combines the power of Microsoft Fabric, Azure Cloud, and Power BI. This pipeline is engineered to tackle the challenges of real-time data ingestion, multi-layered processing, and analytics, delivering business-critical insights.