Case Study · Data Analytics & Utilities
iSolarSight: High-Performance ETL for Smart Energy
We partnered with an analytics company focused on smarter digital operations for Energy, Utilities, and Smart Cities. To power their flagship product, iSolarSight™, we engineered a high-performance ETL solution capable of ingesting massive volumes of heterogeneous SCADA data into Cassandra for actionable plant performance insights.
The Research Challenge
The "Data Variety" Bottleneck: The client needed to support rich capabilities for asset owners while dealing with fragmented, inconsistent data.
Fragmented Sources
Data arrived from disparate SCADA systems and inverters.
Incompatible Formats
Files in Excel, CSV, JSON, and XML had to be unified.
Scalability Needs
Required to handle utility-scale and rooftop sites with huge volumes.
The Solution
ThoughtSpheres engineered an end-to-end Asset Measurement Data Load ETL job using a modern open-source stack. This high-velocity pipeline transforms raw data into intelligence through a structured workflow.
Ingestion
Modules extract data from file systems and RESTful services.
Parsing
Smart engine converts diverse formats (Excel, CSV, XML) into a generic JSON model.
Mapping
Automatic mapping of raw sensor tags to master data definitions in PostgreSQL.
Calculation
Applies domain logic to generate derived tags and new value-added metrics.
Loading
Formats final JSON into high-speed insert operations for Cassandra DB.
Technology Stack
The solution was built on a robust, open-source stack designed for high throughput and scalability.
The Impact
End-to-End Digitalization
Fully digitized plant operations from raw data to dashboards.
Scalability
Able to ingest multi-format data for any size of utility site.
Actionable Insights
High-quality, derived metrics empower asset owners to optimize performance.
Drowning in unstructured sensor data?
We build big data pipelines that turn noisy operational data into real-time, decision-ready intelligence.
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