Introducing Time Series Datasets
Expanding on our Tilebox Datasets capabilities, we are excited to introduce Time Series Datasets. A powerful new way to organize and query your datasets.
Time series data is a collection of data points capturing the state of a system at a particular point in time. It can be used for a variety of applications and is particularly useful for detecting and monitoring short-term and long-term patterns or change. Examples include monitoring the presence and trajectory of orbital debris, analyzing post-disaster satellite imagery, or tracking movement of maritime vessels.
Efficient analysis
Each datapoint is associated with a timestamp - such as the time a datapoint was captured by a specific sensor. Utilizing the time series dataset design, teams can perform detailed time-based data queries on your datasets - be it monthly trends or changes by the millisecond.
Batteries included
Time Series Datasets includes our python client for querying, fetching and ingesting data directly into your Tilebox Datasets. No need to worry about API calls, pagination, or aggregation queries, just focus on your core business value.
Our client returns your data as a powerful Xarray Dataset, so you don’t have to tediously transform your data to the required format to integrate with many common processing and visualization libraries.
Tilebox includes built-in visualizations tools for additional analysis support. Check out what you can do with just a few lines of code.
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Diversify your work
By optimizing data storage and retrieval, Tilebox Datasets reduce storage costs and improve operational efficiency while providing the flexibility your team needs to test, refine, scale, and deliver on market demands.
Time Series datasets unlock a new category of use cases to support customer missions. From environmental monitoring to orbital traffic, understanding temporal patterns is a critical aspect of timely analysis, change-over-time studies, and predictive models.
Explore More Logical Grouping Options with Collections
Want to split up your measurements by the sensor that captured it? Or by satellite mission? Tilebox Collections allow you to easily group together data points within a dataset. We do not force a fixed structure on your dataset, instead you can simply adapt the tool to fit your needs.
