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Can you use ANY ArcPro tool with big data processing in GeoAnalytics server?

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08-10-2017 03:49 PM
JustineJedlicka3
by
Deactivated User
‎08-10-2017 03:49 PM

. Since GeoAnalytics server is an add-on & can be used through ArcPro, I am wondering if big data functionality is

 

  1. Only available to the tools listed within GeoAnalytics tools (i.e. calculate density, create space time cube, find hot spots, etc.)
  2. OR can you process big data sets with ANY ArcPro tool (i.e. generalize, buffer, intersect, interpolation, etc.)

 

Unfortunately this didn’t seem clear at the presentation at the conference or on the website. I appreciate your clarification.

Thanks!! 

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1 Reply
SarahAmbrose
by Esri Contributor
Esri Contributor
‎08-10-2017 05:37 PM

Hi Justine,

The quick answer is no, you can not run any Pro tool distributed on your GeoAnalytics Server. GeoAnalytics Server is a designated ArcGIS Server for distributed processing.  You can run GeoAnalytics tools on that server (at 10.5.1 there are 11 tools that run on the GeoAnalytics server) outlined here.

GeoAnalytics tools are exposed in and can be run from ArcGIS Pro, Map Viewer in Portal, the REST API or the ArcGIS Python API. All of those clients run GeoAnalytics tools on the GeoAnalytics Server.

Only tools in the GeoAnalytics toolbox are run on the GeoAnalytics Server. If you were to open up ArcGIS Pro, and run the GeoAnalytics tool Create Space Time Cube, that would run on the GeoAnalytics Server. If you ran the Create Space Time Cube By Aggregating Points tool in the Space Time Pattern Mining toolbox, that would run the tool using the machine ArcGIS Pro is installed on.

The image below shows the tools that are run using GeoAnalytics. These tools have specifically been developed to distribute the analysis across the cores and machines on your GeoAnalytics Server. 

 

GeoAnalytics Tools in Pro

Please let me know if that doesn’t clarify the situation. If you’re able to point to the help documentation or technical workshops that you watched that didn’t clarify this, please do and we’ll make sure to improve them for the future.

Thanks,

Sarah Ambrose

Product Engineer, GeoAnalytics Team