February 2025 — data-hydenv/data: Delivered Hourly 2025 Data Ingestion feature by adding a new CSV dataset with hourly records (timestamp, temperature, origin) to enable hourly analytics and forecasting. This data input supports analytics pipelines and operational dashboards for 2025. No major bugs reported or fixed this month. Next steps include validating data quality and integrating with downstream ETL processes. Technologies demonstrated include CSV-based data ingestion, time-series data modeling, and effective use of version control across the repository.

January 2025 delivered a new time-series data asset and established a foundation for enhanced telemetry analytics. The Temperature Time-Series Dataset Ingestion feature was added to the data-hydenv/data repository, enabling reliable ingestion and analysis of 10-minute temperature readings. This work directly supports dashboards, anomaly detection, and machine learning models by improving data availability and granularity.