University of California
Informatics and GIS Program

Esri User Conference 2017 – Day 3

Today was a great day at the ESRI User conference. I attended several sessions covering the use of raster and vector data in big data analyses, the use of python and r for data science, and the use of arcpy to create and modify maps in ArcGIS Pro.

Speaking of big data and arcgis, over the past 5 years I have watched ESRI develop their software from a desktop environment to a distributed computer platform capable of analyzing millions of spatial features in minutes and hours instead of days or weeks. These tools are now accessible to the average users of arcgis without the need to understand the underlying big data frameworks and software. We now have the ability to install tools such as GeoAnalytics Server, the Spatial Temporal Datastore, and ArcGIS Pro and take advantage of big data analytics within ArcGIS Pro. By using these tools we do not have to know how to setup and manage tools like apache spark, elasticsearch, or other tools.

The above tools are used to store and analyze vector data. To analyze multidimensional rasters, we have the ability to use mosaic datasets to store and analyze multiple raster datasets and multiple raster formats. Over the past years I underestimated the capability and the utility of mosaic datasets. These datasets have the ability to calculate custom raster functions on the fly. These datasets can also be shared via ArcGIS Server and ArcGIS Online. I look forward to utilizing the datasets in the future.

One thing to note at the ESRI User Conference is that like last year all of the presentations that I have seen by ESRI staff this year have been on ArcGIS Pro. The ArcGIS Pro software is getting more powerful and ESRI is building more functionality into this new software platform.

I cannot wait to see what day 4 brings tomorrow.

Posted on Wednesday, July 12, 2017 at 9:55 PM

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