Ingestion
Synthetic telemetry, CDC envelopes, batch manifests, and local events model coexistence patterns.
A hybrid low-carbon energy Data and AI platform blueprint for progressive modernization across legacy systems, lakehouse foundations, governance, and deployment-ready architecture.
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This lab is intentionally concise. It is built to support architecture conversations about hybrid modernization, industrial telemetry ingestion, governed lakehouse design, and scalable data foundations.
Synthetic telemetry, CDC envelopes, batch manifests, and local events model coexistence patterns.
Bronze raw data, Silver interval metrics, and Gold daily summaries represent lakehouse layers.
Contracts, catalog metadata, security boundaries, quality reports, and lineage notes keep the platform explainable.
The mini project starts from a 3 kW photovoltaic installation with a Huawei inverter monitored through FusionSolar, then turns local production signals into governed analytical data products.
Technical view of the ingestion and processing path from local telemetry sources to governed Bronze, Silver, and Gold datasets.
/api/telemetry/latest exposes curated interval telemetry. /api/analytics/daily-production exposes Gold production summaries. /api/governance/data-products exposes platform metadata examples.
The chart reads the Gold daily summary endpoint at runtime.
Next iterations focus on real telemetry, MinIO-backed lakehouse storage, Databricks workflows, and forecasting-ready feature datasets.