We received a +1 from the following individuals:
- Riley Kuttruff
- Nga Chung
- Thomas Loubrieu
- Thomas Huang
I will go ahead and merge this PR (which has also been approved in GH). Thanks
everyone for contributing and I look forward to getting this feature officially
released!
- Stepheny
On
Thank you, Stepheny!
The Jupyter notebook [1] that we've used to illustrate data match up
was updated to be compatible with async job and pagination and works
as expected.
+1 (binding) from me.
Best,
Nga
[1]
https://github.com/access-cdms/cdms-notebooks/blob/master/CDMS-Match-Up-Demo.ipynb
On
] VOTE thread for major SDAP change
+1 Yes
Thanks for adding this major capability, Stepheny and team. It is good to see
SDAP is supporting OGC Coverage standard. While SDAP is optimized for
interactive analytics, thanks to Apache Spark, we know the response time is
still depending on the volume
+1 Yes
Thanks for adding this major capability, Stepheny and team. It is good to see
SDAP is supporting OGC Coverage standard. While SDAP is optimized for
interactive analytics, thanks to Apache Spark, we know the response time is
still depending on the volume of data involved in the computatio
These changes have been extensively tested and improved through the Cloud-Based
Data Matchup Service project's SDAP deployment and have been working like a
charm. Queries that were previously infeasible due to their size & computation
time are now able to be handled with ease.
I will say that s
Hi everyone,
I opened a PR for a major change to SDAP here:
https://github.com/apache/incubator-sdap-nexus/pull/249
Because this is a major change, I'll open a 72-hour VOTE thread and see if
there are any concerns about this change. However you vote, please provide
justification.
This change
