Template to quickstart streaming analytics using Apache Kafka for ingestion, QuestDB for time-series storage and analytics, Grafana for near real-time dashboards, and Jupyter Notebook for data science

This notebook has the pourpose to show an easy approach to fill large gaps in time series, mantainign a certain veridicity and data validity. The approach consist in apply a forecasting in both sides of the gap, and combine the two prediction using interpolation.