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17:58
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Databricks
Building a Multimodal Data Lakehouse with the Daft Distributed Python Dataframe
Modern data workloads come in all shapes and sizes - numbers, strings, JSONs, images, whole PDF textbooks and more. To process this data we still rely on utilities such as: ffmpeg for videos, jq for JSON and Pytorch for tensors. However, these tools were not built for large-scale ETL. This means that we often need to build bespoke data ...
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