Legacy systems bottlenecked data from 60M endpoints. AI models now predict usage to cut 1,200MW from the grid and halve dev cycles.
An energy platform managing data from over 60 million endpoints, including smart thermostats, usage meters, electric vehicle chargers, and solar arrays.
A legacy Spark management system and siloed applications bottlenecked processing for gigabytes of daily raw data. The infrastructure could not scale...
“We’re running 30,000 Spark jobs per month on Databricks to ingest, prepare and analyze our data. We’re leveraging BigQuery, BigTable, Pub/Sub and Google Kubernetes Engine (GKE) for peak performance in our data platform. By using Databricks MLflow and Vertex AI, we’ve halved development time for new services and accelerated the rollout of new predictive machine learning (ML) models.”
Demand-side management and customer engagement platform for energy utilities.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
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