If you have large amounts of data, lack the resources to process it, and you want to accelerate your analysis to find answers and act faster, this session is for you. GeoAnalytics Server performs scalable and distributed batch analysis on feature and tabular data. GeoAnalytics Tools are built for big data problems, with a focus on summarizing and analyzing large spatial and spatiotemporal datasets. We will discuss the analytics provided, supported data formats, and how to configure and set up a GeoAnalytics server.
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🕑 Chapters
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0:00 Introduction
1:07 What is GeoAnalytics?
2:08 Why use GeoAnalytics Server?
2:58 Powerful Analytics
3:48 GeoAnalytics is available through...
4:39 When to use Desktop or Server for GeoAnalytics
8:42 GeoAnalytics Server is ready to use with
9:56 Analysis Capabilities Summarize Data
12:22 Analysis Capabilities + Space and Time Work with data in both space and time Use GeoAnalytics to perform spatiotemporal analysis
20:14 Join Features
22:00 Reconstruct Tracks
24:12 Build Multi-Variable Grid - Nearest Subway Station
24:22 Build Multi-Variable Grid - Population per Sq. Mile
24:25 Build Multi-Variable Grid - Number of Complaints
24:38 Access and use PySpark with GeoAnalytics Server Use Run Python Script to execute distributed analysis
26:24 What types of data can I analyze? And from where?
27:03 Easily Connect To Your Big Data Big Data File Shares
28:15 Write to big data file shares
29:36 How do I actually use all those data sources?
40:33 What do I need to install to use ArcGIS GeoAnalytics Server?
40:55 GeoAnalytics Sites | 1 or 3 machines
43:31 System Requirements
44:45 Deployment
45:27 Summary
46:17 Helpful Links
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