BerriAI / litellm
github.com·3d ago
Developer Tools
Databricks Blog·Aug 28·5 min read
How Indra unified EV charging data on Databricks
TL;DR
Indra Renewable Technologies unified its electric vehicle (EV) charging data on Databricks, streamlining analytics and reporting across the organization. This consolidation reduced complexity and improved data accessibility for business teams.
✦ Why It Matters
Consider consolidating your data platforms to improve accessibility and reduce maintenance costs.
Key Takeaways
- Consolidate fragmented data systems onto a single platform.
- Implement a medallion architecture for streamlined data processing.
- Automate reporting to reduce manual effort and improve efficiency.
- Enable natural language queries for easier data access by business users.
How It Works
Indra utilized a medallion architecture, which organizes data into three layers: bronze for raw data, silver for transformed data, and gold for business-ready reporting. This structure allowed for efficient data processing and reuse across multiple use cases, reducing the need for separate builds.