Manage massive weather datasets and scale predictive models

Moving enormous weather datasets to and from the cloud for analysis creates data management challenges and immense storage costs. Storing data in flat files on inexpensive cloud object storage makes it difficult to discover and analyze multi-terabyte datasets.

TileDB provides a cloud-native solution that is superior to NetCDF, which is designed for efficient data analysis on cloud object storage. With support for time-series data, TileDB lets you easily experiment with diverse and ever-growing datasets. In addition, TileDB interoperates with popular data science tools like Dask and xarray. Take advantage of TileDB’s compression and scalable, serverless computational engine to enjoy huge TCO savings.

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