In this article, you’ll learn how to configure a client to communicate with #InfluxDB and how to fetch data from #InfluxDB Cloud. You will also learn how this data can be used to train a model on PyTorch to make forecasts and predictions.

InfluxDB is a time-series database platform for collecting, storing, and analyzing time-stamped data, offering tools for monitoring, observability, and IoT applications. From this resource users can learn about time-series data modeling, querying, and visualization to monitor and analyze their systems' performance and behavior in real-time.

InfluxData

Time series data can be used in all kinds of industries, like the stock market, weather data, logs, and traces. In this article, you’ll learn how to Now, you need to create a bucket by navigating to Buckets from the navigation bar on the left: Then click on CREATE BUCKET. This isn’t recommended since you will need to update the bucket name.

Time Series Forecasting with PyTorch and InfluxDB

Getting started with time series forecasting