Lucas Villa Real (@lucasvr) of IBM Research will discuss his project HDF5-UDF, a data virtualization tool for HDF5. The tool enables users to associate logic in source code form (i.e., in user-defined functions, written in Python, C/C++, or Lua) with HDF5 datasets. Such UDFs are compiled into a binary form (which often takes no more than a few KB) and embedded into HDF5; once an application reads such a dataset, HDF5-UDF executes that binary code and generates the data on-the-fly. Lucas has just released HDF5-UDF 1.2 which offers several new features: among other benefits, it makes it possible to easily virtualize CSV files so they look like regular HDF5 datasets.
This session will be recorded and posted, but we’d love to have you join us live. Register today:
On February 12, 2021, we were pleased to host Lucas Villa Real (@lucasvr) of IBM Research to discuss his project HDF5-UDF, a data virtualization tool for HDF5. The tool enables users to associate logic in source code form (i.e., in user-defined functions, written in Python, C/C++, or Lua) with HDF5 datasets. Such UDFs are compiled into a binary form (which often takes no more than a few KB) and embedded into HDF5; once an application reads such a dataset, HDF5-UDF executes that binary code and generates the data on-the-fly. Lucas has just released HDF5-UDF 1.2 which offers several new features: among other benefits, it makes it possible to easily virtualize CSV files so they look like regular HDF5 datasets.
Attached you’ll find the slide deck and the recording of this session.
