The latest update on Data Diluvium incorporates a temperature data generator, completing the environmental data generators needed for TimeScale DB. Emphasizing realistic patterns, the generator accounts for daily and seasonal variations in temperature. The implementation aims to support diverse numeric types and offers string-based generators for display and reporting applications. Continue reading →

The post discusses the creation of a humidity data generator for TimeScale DB, highlighting its significance in environmental monitoring and IoT applications. Key features include realistic humidity levels, time and seasonal variations, and compatibility with various numeric types. Comprehensive testing ensures the generator produces reliable values for further development. Continue reading →

This tutorial demonstrates how to set up and use TimescaleDB with Docker Compose, detailing prerequisites, installation steps, and basic operations including creating hypertables and querying data. It also covers running multiple PostgreSQL instances on different ports for simultaneous project management while maintaining system organization and resource efficiency. Continue reading →

The article emphasizes the urgent need for coders and tech professionals to adapt in a rapidly evolving industry. It advocates for a shift towards the “Product Engineer” role, integrating various functions such as product management, design, and engineering. Success will depend on a systemic understanding of technology and broader strategic thinking to avoid being left... Continue reading →

This post highlights additional features of DataDiluvium, enhancing its functionality and developer experience. Key aspects include a sample SQL schema repository for documentation and testing, Jest and ESLint configurations, utility functions for type and string manipulation, performance optimizations, and accessibility improvements, all contributing to a robust application. Continue reading →