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My 2c but I am not an expert, just know a few experts . If feature access is not needed (ie web editing), we keep everything in a fgdb. Even if the data is in SDE and is getting edited via desktop, we use scripts on a regular basis to copy it across. If a layer is to be edited via a webmap/app, then it stays in the enterprise db. You correctly state that it is the service itself which is expensive on server resources. So we try and minimise those. So there will be a set of base services (usually focused around the business groups), but also the individual layers added as separate items. That way you can always throw a WebMap/App together using these as the source.
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08-23-2016
05:52 AM
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If I get time, I might do some testing of interpolating an interpolation.... Will feed back here..
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08-22-2016
11:12 PM
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To convert the points to raster, you would need to do a little fiddling with the point spacing and the origin. Inputs to the Point to Raster tool, you would have to specify in the environments the exact cellsize of the output (equal to the spacing of the points) and also an extent which was exactly 1/2 of a cellsize offset to the west. So, in the output raster all the input points were at the centre of each output pixel. But if you just wanted a quick picture of these points, I don't think using something like Natural neighbour interpolator would actually mess up the input data so much. And would save you a whole lot of messing about. Perhaps Dan_Patterson would like to comment on the implications of this interp....
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08-22-2016
09:01 AM
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If this is something to do with logging or sampling down a drillhole, the interval table is normally joined to the drillhole polyline zm using linear events. First you need the drill trace polyline which has measures on the 3d length. Then you can map the data table to it using the data in the table like "m_From, m_To", back to the measures. If this is your scenario, please post some of the data here.
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08-22-2016
06:26 AM
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As long as your ALTER doesn't affect any of the ArcGIS fc required fields it will be fine
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08-22-2016
02:24 AM
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The projection from GCS on one dataum to a PCS based on another datum can be done in one step using the Project tool or export from ArcMap. You just need to have set the correct transformation to get the datum shift sorted out.
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08-22-2016
12:07 AM
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I am not expert on these issues. All of this new focus on web services stuff, I must admit is a considerable challenge for my old brain..... But, you may have seen some of these links, but perhaps some may be of use. ArcGIS Enterprise system : performance & scalability wiki.GIS Performance management Geonet thread
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08-19-2016
06:24 AM
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Is this perhaps related to this error with chrome?? https://community.esri.com/message/614439?commentID=614439#comment-614439 But with any web map, one must set various drawing scale levels. Don't try and draw too much detail at smaller scales. Are the 30-35 layers all in one map service or have they been added as separate feature services? Again, draw scale settings are important for response times or time out failures.
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08-19-2016
03:52 AM
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Under Position options, there is an offset perpendicular option. Doesn't that do what you need.
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08-19-2016
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If you are dealing with data for a map service or similar, it is far better to resolve all this underlying datum story upfront. Ie reproject all the data first and use appropriate transforms to get the correct WGS84 based output.
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08-18-2016
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There are 9 different geocentric Arc50 to WGS84 transforms available in the system. Just make sure you pick the correct one for your data. See the geographic_transformations.pdf in your ArcGIS install / documentation folder. Page 5 for each region of use.
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08-18-2016
02:54 AM
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Cool. I had forgotten about the "explode to points" option. Mr Numpy rules
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08-16-2016
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But that's why we think you have an incorrect original coordinate system
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08-16-2016
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I think you will not find any db system that will allow you to have a table with 40k attribute cols. That's crazy. If this is a bunch of arrays, then let's wait for Dan_Patterson to come up with some more elegant solution using numpy.
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08-16-2016
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