Data Ingestion and Preprocessing Setup

planningChallenge

Prompt Content

Set up a simulated BESS telemetry data stream (e.g., Python script generating JSON payloads) for 100 cells across 10 modules. Implement a data ingestion pipeline that processes this stream, performs necessary feature engineering (e.g., moving averages, rate of change), and prepares it for time-series modeling. Document your data schema and preprocessing steps.

Try this prompt

Open the workspace to execute this prompt with free credits, or use your own API keys for unlimited usage.

Usage Tips

Copy the prompt and paste it into your preferred AI tool (Claude, ChatGPT, Gemini)

Customize placeholder values with your specific requirements and context

For best results, provide clear examples and test different variations