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Processing Moderate to Large Data with ArcGIS Pro


1: Processing Moderate to Large Data with ArcGIS Pro

GeoAnalytics Desktop

Udemy Coupon Codes

If you are moving into a territory in your GIS career where the amount of data you are using prevents you from doing your job effectively, this course is for you.  We'll focus on the best practices for using large data sources and the new offering by Esri to parallelize geospatial tasks.  Esri's GeoAnalytics Desktop tools provide a parallel processing framework for GIS analysis using your existing PC.  Most PCs today have 8 or more processing cores (CPUs), and the use of Apache Spark in GeoAnalytics Desktop turns your ArcGIS system into a mini high performance computing lab.  The tools are so well integrated  in ArcGIS Pro that they operate in the same way as other geoprocessing tools in ArcGIS. 

While parallel processing tools exist, they may be severely ineffective unless you properly utilize the hardware, software, and data on your computer.  This class will introduce you not only to the actual features in GeoAnalytics Desktop, but also some of the best practices when working with hardware, software, and data.   Some of the topics we'll address include:

  • hardware considerations for working with large spatial data.

  • classes of databases to store large spatial data.

  • working with different coordinate systems with large spatial data.

  • indexing strategies for improving the speed of database searches.

  • formatting GIS data to improve spatial analysis.

You will have an opportunity to not only learn about the theoretical topics of large spatial data analysis, but you'll perform hands on activities to test the processes yourself.  This is the perfect course to get you ready for working with large amounts of spatial and non-spatial data.

Processing Moderate to Large Data with ArcGIS Pro | Udemy

Who this course is for:

  • Students who have a desire to learn about the best practices for handling large amounts of spatial and non spatial data in GIS processes.

What you'll learn

  • Learn about the hardware considerations for using large amounts of data in GIS
  • Learn about the software considerations for using large amounts of data in GIS
  • Learn about best practices for structuring data spatial and attribute data when working with large amounts of data in GIS
  • utilize GeoAnalytics Desktop to process large amounts of geospatial data in ArcGIS Pro


  • Students should have some familiarity with GIS

Slower performance might be related to a large or bloated project. Your project should only include resources you need for the work, and only open maps and layouts that you need rather than keeping them all open

Processing Moderate to Large Data with ArcGIS Pro | Udemy

Web tool performance tips
  1. Use layers for project data.
  2. Use data local to ArcGIS Server.
  3. Write intermediate data to memory.
  4. Preprocess data used by your tasks.
  5. Add attribute indexes.
  6. Add spatial indexes.
  7. Use synchronous rather than asynchronous.
  8. Avoid unneeded coordinate transformations.

By default, DirectX is the rendering engine for ArcGIS Pro. In most cases, it is the optimal setting. However, a particular model or driver of a graphics card may perform better on OpenGL rendering, and you can set OpenGL as your rendering engine.

Over the last couple of months, I found that ArcGIS Pro is so much faster at handling raster. For example, when I used ArcMap to do Extract by Mask on high-resolution aerial files, I had to leave the computer on after work so that it could be finished the next day

For example, AGOL base maps are especially fast-loading. Even opening projects, you'll notice it feels quicker. Despite all these major improvements, QGIS 3 still outperformed in the majority of the speed tests we ran.

Quadro vDWS combined with NVIDIA T4 is recommended for virtualizing Esri ArcGIS Pro. The T4 GPU performance is in line with commonly used Quadro GPUs, such as the Quadro P4000, used in physical workstations for ArcGIS Pro.

ArcGIS Pro offers enhanced performance with the use of graphics processing unit (GPU) processing for some tools. This technology takes advantage of the computing power of the graphics card in modern computers to improve the performance of certain operations.

Processing Moderate to Large Data with ArcGIS Pro | Udemy

ArcGIS 10.8. 1 is the current release of ArcMap and will continue to be supported until March 01, 2026, as established in the ArcGIS Desktop Product Life Cycle. We do not have plans to release an ArcMap 10.9 with the ArcGIS releases in 2023.

Answer. No, higher power graphic processing unit (GPU) does not improve the performance of ArcGIS Image Server as it is part of ArcGIS Enterprise, and ArcGIS Enterprise is dependent on the Central Processing Unit (CPU).

Your computer's Central Processing Unit is responsible for processing and transferring information around the computer. CPU is incredibly important for processing speed when completing GIS tasks. ArcGIS is draining on your computer's internal systems, so that CPU speed is acutely important.

GIS is CPU-heavy. The central processing unit (CPU) is your workhorse. The CPU is your headquarters for processing data. When you run an intensive GIS process, the system gets maxed out.

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