The Infrastructure Insights sample dataset provides a representative view into energy infrastructure development activity, designed to help users explore the scope, structure, and value of Yes Energy’s Infrastructure Insights offering. This sample highlights how project-level infrastructure data can be accessed, queried, and analyzed directly within Snowflake to understand where generation, transmission, distribution, and large load facilities are being built, upgraded, or retired. The dataset includes a curated subset of Yes Energy’s Infrastructure Insights content, featuring project-level attributes such as location, project type, ownership, status history, timelines, equipment characteristics, and associated news.
It is intended to demonstrate the breadth and depth of the data model, not to represent the full underlying dataset. This Snowflake Marketplace listing is delivered via declarative sharing, enabling immediate access without data movement or ingestion. As part of the app, Yes Energy provides a starter Notebook that walks users through example queries and analyses, illustrating how the data can be used for infrastructure assessment, interconnection analysis, and market planning workflows.
The notebook is designed to help users quickly evaluate the data and understand how it can be integrated into broader analytics and AI workflows. The full Infrastructure Insights dataset includes comprehensive coverage across tens of thousands of generation, transmission, and load center projects, continuously maintained and updated by Yes Energy’s infrastructure data experts. com to speak with our sales team.
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yesenergy.com
Freshness
Single-source
API Status
No API
Compliance (vendor-reported)
Quality Breakdown
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Yes Energy is an alternative data vendor. Yes Energy specializes in data quality and cleansing, energy, geospatial, market analysis data. This vendor has a Vedex Intelligence Score of 19 out of 100, reflecting market presence, compliance posture, integration readiness, and business maturity.
Yes Energy operates in the following alternative data categories.