Building Multi-Node Django Systems for Time-Series Data [Free Course]
Blog post from Tiger Data
The CodingEntrepreneurs YouTube channel has created a comprehensive Django Tutorial that showcases how to run multiple Django nodes to handle massive time series data. The tutorial covers topics such as local development, production development, and collecting real-time data from multiple devices. It uses TimescaleDB for storing time-series data effectively, Celery for asynchronous data processing, and Chart.js for visualization. Pro tips on deploying and scaling the application are also provided, with the option to try it out for free using Timescale Cloud's 30-day trial.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 2 | 3,671 | 840 | 202 | +19% |
| Data Pipeline | 1 | 498 | 200 | 70 | -28% |
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