This is good news for D4M users. I have been using D4M.jl (Julia), but other
data science types know and love Py. I am sure they will find this
implementation appealing.
Btw
I am in the throes of refactoring my D4M stack into microservices thus
eliminating the need for JavaCall et. al. Calling Accumulo via a REST endpoint
works well for my use case.
On 9/10/21, 3:19 PM, "Kepner, Jeremy - LLSC - MITLL" <kep...@ll.mit.edu> wrote:
Accumulo Colleagues,
We’re excited to announce that version 1.2 of the Python implementation
of D4M (D4M.py) has been released on github
(https://urldefense.com/v3/__https://github.com/Accla/D4M.py__;!!May37g!eX4ccnWI4uDIebNiSX3l80ibSUYrVpVOXtvrZI8j1XpC-yeHe8kftMZ18CETiLbvzAvv$
). In particular, this version of D4M.py includes Accumulo bindings for
reading and writing Accumulo tables as D4M associative arrays. The README.md
has information on installation, dependencies, setup, usage, and testing.
Feedback would be greatly appreciated, especially regarding database setup
functionality as we know that our Accumulo setup in the MIT ecosystem may not
be the same as others.
Regards
Dr. Hayden Jananthan - Postdoctoral Associate
Dr. Jeremy Kepner - Lincoln Laboratory and SIAM Fellow
Lincoln Laboratory Supercomputing Center
