Jd version 4.44 available

Load tables from parquet/feathers/orc/hdf5/... files!

CSV was the standard database interchange format for a long time and the Jd
native csv loader is fast and robust.

But parquet and other file formats are increasingly common. These new
formats tend to be column oriented and fit well with Jd. They are space
efficient and much faster to load.

These new formats are complex and Jd has chosen to leverage work done in
python rather than reinvent these wheels.

With help from python/pandas you can now load tables from any supported
file format into Jd.

There is a tutorial that shows how to load tables from parquet and other
format files.

   jdrt'parquet'

*** read carefully if you are running a versions previous to 4.43
Be careful switching to this version as tables used in this version will be
marked damaged if used with a previous version!!!

Read 4.43 notes carefully: https://code.jsoftware.com/wiki/Jd/Release

Read 'Run Production': https://code.jsoftware.com/wiki/Jd/General

The code simplification and performance improvement justified the extra
caution required in moving to this release.

If you don't use multiple systems at different maintenance levels accessing
the same tables, this update should not be a problem.
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