{"id":410232,"date":"2019-01-16T17:17:09","date_gmt":"2019-01-17T01:17:09","guid":{"rendered":"http:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=410232"},"modified":"2020-02-21T12:22:08","modified_gmt":"2020-02-21T20:22:08","slug":"following-the-flow-of-data-in-geoanalytics-server","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server","title":{"rendered":"Following the flow of data in GeoAnalytics Server"},"author":8022,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23851],"tags":[177182,25351,303752,35561,282382],"industry":[],"product":[36941],"class_list":["post-410232","blog","type-blog","status-publish","format-standard","hentry","category-data-management","tag-arcgis-enterprise-10-6-1","tag-big-data","tag-data-flow","tag-geoanalytics","tag-geoanalytics-server","product-geoanalytics-server"],"acf":{"short_description":"Understanding GeoAnalytics Server data inputs and outputs and the flow of data through GeoAnalytics. Updated for 10.8!","flexible_content":[{"acf_fc_layout":"content","content":"<p><a href=\"https:\/\/www.esri.com\/en-us\/arcgis\/products\/arcgis-geoanalytics-server\">ArcGIS GeoAnalytics Server<\/a> is a capability of ArcGIS Enterprise that speeds up spatial analysis and data management workflows using distributed computing. This means you can use multiple cores across multiple machines in parallel to process your data, generating results quickly. Using the analysis tools in GeoAnalytics Server, you can understand patterns, anomalies and trends in your larger datasets.<\/p>\n<p>This blog outlines the types of data storage locations that are supported as inputs outputs with GeoAnalytics \u2013 after all, analysis starts with your data! The blog reflects what is possible at ArcGIS Enterprise 10.6.1 and includes enhancements released at 10.7 and 10.8. As data connections continue to grow, we will keep both this blog and the documentation updated with new enhancements.<\/p>\n<p><strong>Data inputs<\/strong><\/p>\n<p>GeoAnalytics is flexible in that it can connect to many different data sources that you can use as input into your analysis. Keep in mind that GeoAnalytics works with vector (points, lines and polygons) and tabular data. This can take the form of customer &amp; sales data, sensor reads, energy consumption, crowdsourced data, large collections of movement data (cars, people, storms) and much more.<\/p>\n<p>GeoAnalytics supports connecting to the following to pull in data into your analysis:<\/p>\n<ul>\n<li>HDFS &#8211; Hadoop Distributed File System* <em>(including HDFS secured using Kerberos)<\/em><\/li>\n<li>Hive*<\/li>\n<li>Microsoft Azure blob storage<\/li>\n<li>Microsoft Azure Data Lake<\/li>\n<li>Amazon S3 bucket<\/li>\n<li>Local or network file shares<\/li>\n<\/ul>\n<p><em>*Think of the scope of connection to HDFS and Hive as connecting to \u2018vanilla\u2019 HDFS and Hive, without additional software packages in between. <\/em><\/p>\n<p>File types can include collections of shapefiles, parquet, ORC, and delimited files (such as .csv, .tsv and .txt). For example, analysts could store a collection of CSVs in an Amazon S3 bucket and dynamically use those in GeoAnalytics to perform aggregations, spatial joins, and other analyses.<\/p>\n<p>In addition to these external stores, GeoAnalytics can use your existing GIS data as input into your analysis. This can take the form of:<\/p>\n<ul>\n<li>Hosted feature layers stored in your relational ArcGIS Data Store<\/li>\n<li>Hosted feature layers stored in your spatiotemporal big data store (as a result of tracks from Tracker for ArcGIS, real-time feeds from GeoEvent Server, or GeoAnalytics analysis results)<\/li>\n<li>Feature services (as long as you have query access, you can use it for analysis!)<\/li>\n<li>Stream services (data ingested through GeoEvent Server can be used in GeoAnalytics analysis)<\/li>\n<\/ul>\n<p>If you have data stored in a geodatabase, the best way to use it in GeoAnalytics is to publish what you want to analyze as a hosted feature service and use that as input. Analysis will be faster with a hosted feature layer than a feature layer published by reference because the tools can read directly from the data store. So, when possible, use hosted layers!<\/p>\n<p><strong>Data outputs<\/strong><\/p>\n<p>When you are running analysis, you have the option to store your results as a hosted feature layer in the ArcGIS Data Store, either the relational type or the spatiotemporal big data store. In most cases, it is recommended to use the spatiotemporal big data store, as it is designed to store a large number of features and uses distributed storage for fast read\/write of your data. At ArcGIS Enterprise 10.7, you can now write your results back to HDFS, an Amazon S3 bucket, an Azure Data Lake or a network share. At 10.8 you can now write results to Azure blob storage. Read on to learn more!<\/p>\n<p>&nbsp;<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":412622,"id":412622,"title":"GA input output","filename":"GA-input-output.png","filesize":43344,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GA-input-output.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server\/ga-input-output","alt":"Lists types of input (feature layers, cloud storage) and outputs of GeoAnalytics in a flow chart\/diagram for 10.6.1.","author":"8022","description":"","caption":"","name":"ga-input-output","status":"inherit","uploaded_to":410232,"date":"2019-01-16 22:44:12","modified":"2019-03-21 21:30:57","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":964,"height":470,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GA-input-output-150x150.png","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GA-input-output-300x146.png","medium-width":300,"medium-height":146,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GA-input-output-768x374.png","medium_large-width":768,"medium_large-height":374,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GA-input-output.png","large-width":964,"large-height":470,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GA-input-output.png","1536x1536-width":964,"1536x1536-height":470,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GA-input-output.png","2048x2048-width":964,"2048x2048-height":470,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GA-input-output-826x403.png","card_image-width":826,"card_image-height":403,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GA-input-output.png","wide_image-width":964,"wide_image-height":470}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p style=\"text-align: left\">Above is an illustration of how data flows through GeoAnalytics Server, with inputs and outputs. Data can be used from external stores to run analysis against your GeoAnalytics server(s). The output is a feature layer in ArcGIS Enterprise that can be used in other areas of ArcGIS Enterprise like web maps and applications.<\/p>\n<p><strong>New at 10.7:<\/strong><\/p>\n<p>At 10.7, we\u2019ve added the ability to write back to your big data file shares.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":466302,"id":466302,"title":"GeoAnalytics 10.7","filename":"GeoAnalytics-10.7.jpg","filesize":63568,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GeoAnalytics-10.7.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server\/geoanalytics-10-7","alt":"Inputs and outputs of GeoAnalytics Server at 10.7","author":"8022","description":"","caption":"","name":"geoanalytics-10-7","status":"inherit","uploaded_to":410232,"date":"2019-03-21 21:33:16","modified":"2019-03-21 21:33:30","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1266,"height":635,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GeoAnalytics-10.7-150x150.jpg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GeoAnalytics-10.7.jpg","medium-width":464,"medium-height":233,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GeoAnalytics-10.7.jpg","medium_large-width":768,"medium_large-height":385,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GeoAnalytics-10.7.jpg","large-width":1266,"large-height":635,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GeoAnalytics-10.7.jpg","1536x1536-width":1266,"1536x1536-height":635,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GeoAnalytics-10.7.jpg","2048x2048-width":1266,"2048x2048-height":635,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GeoAnalytics-10.7-826x414.jpg","card_image-width":826,"card_image-height":414,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/GeoAnalytics-10.7.jpg","wide_image-width":1266,"wide_image-height":635}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>The above illustration outlines how your data flows through GeoAnalytics Server at 10.7, with inputs (the same as 10.6.1) and outputs (new options for 10.7). Your analysis output can be a feature layer in ArcGIS Enterprise or \u2013 and this is the new part &#8211; a big data file share. You can mix and match sources and outputs as you need. This means you can read from one big data file share, write a hosted layer, and then use that as input and write to another big data file share. It\u2019s all up to you where you want your data to go.<\/p>\n<p><strong>New at 10.8:<\/strong><\/p>\n<p>At 10.8, <span class=\"TextRun SCXW265311635 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW265311635 BCX0\">you can additionally write back your big data file share results to Azure blob storage.<\/span><\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":740802,"id":740802,"title":"data_108","filename":"data_108.jpg","filesize":75980,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/data_108.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server\/data_108","alt":"Data Inputs and Outputs at 10.8","author":"8132","description":"Data Inputs and Outputs at 10.8","caption":"Data Inputs and Outputs at 10.8","name":"data_108","status":"inherit","uploaded_to":410232,"date":"2020-02-19 12:36:26","modified":"2020-02-19 12:36:57","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1327,"height":660,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/data_108-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/data_108.jpg","medium-width":464,"medium-height":231,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/data_108.jpg","medium_large-width":768,"medium_large-height":382,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/data_108.jpg","large-width":1327,"large-height":660,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/data_108.jpg","1536x1536-width":1327,"1536x1536-height":660,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/data_108.jpg","2048x2048-width":1327,"2048x2048-height":660,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/data_108-826x411.jpg","card_image-width":826,"card_image-height":411,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/data_108.jpg","wide_image-width":1327,"wide_image-height":660}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span class=\"TrackChangeTextInsertion TrackedChange SCXW51614545 BCX0\"><span class=\"TextRun SCXW51614545 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW51614545 BCX0\">At 10.8, we\u2019ve added Azure blob storage as an additional output option. <\/span><\/span><\/span><span class=\"EOP SCXW51614545 BCX0\" data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559738&quot;:150,&quot;335559739&quot;:300,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p>When you\u2019re ready to get started, visit the help topic <a href=\"http:\/\/enterprise.arcgis.com\/en\/server\/latest\/get-started\/windows\/what-is-a-big-data-file-share.htm\">Get started with big data file shares <\/a>for technical information on how to prepare and connect to your data. For more information on analysis tools provided by GeoAnalytics, visit <a href=\"https:\/\/enterprise.arcgis.com\/en\/portal\/latest\/use\/perform-big-data-analysis.htm\">Perform big data analysis using GeoAnalytics Server<\/a>.<\/p>\n<p>Keep in mind, this is the current list as of ArcGIS Enterprise 10.6.1 and 10.7, and 10.8. You can always reference the documentation for an updated list and we will keep this blog updated as well as new options are released.<\/p>\n<p>For questions, comments and product needs for GeoAnalytics Server, please contact <a href=\"mailto:GeoAnalytics@esri.com\">GeoAnalytics@esri.com<\/a>. As we continue to develop the product, your data needs will help drive us to add support for other storage types and options.<\/p>\n<p>Hilary &amp; Sarah<\/p>\n"}],"authors":[{"ID":8022,"user_firstname":"Hilary","user_lastname":"Curtis","nickname":"HC","user_nicename":"hcurtis","display_name":"Hilary Curtis","user_email":"HCurtis@esri.com","user_url":"","user_registered":"2018-05-23 23:31:52","user_description":"Hilary is a Product Manager for ArcGIS Enterprise and loves urban ecology, biking and her dog Ada.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/12\/1057e88680157c0-150x150.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"},{"ID":8132,"user_firstname":"Sarah","user_lastname":"Ambrose","nickname":"SAmbrose","user_nicename":"sambrose","display_name":"Sarah Ambrose","user_email":"SAmbrose@esri.com","user_url":"","user_registered":"2018-06-27 23:43:49","user_description":"Sarah is a product engineer on the GeoAnalytics team.","user_avatar":"<img alt='' src='https:\/\/secure.gravatar.com\/avatar\/cc3c93b37cdb8ae378855c43454bf9b9e5417c055237013c1916fb279fe87ffb?s=96&#038;d=blank&#038;r=g' srcset='https:\/\/secure.gravatar.com\/avatar\/cc3c93b37cdb8ae378855c43454bf9b9e5417c055237013c1916fb279fe87ffb?s=192&#038;d=blank&#038;r=g 2x' class='avatar avatar-96 photo' height='96' width='96' loading='lazy' decoding='async'\/>"}],"related_articles":[{"ID":386402,"post_author":"8022","post_date":"2018-12-19 11:46:13","post_date_gmt":"2018-12-19 19:46:13","post_content":"","post_title":"GeoAnalytics Server Analysis Demo - Ozone Detection","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"geoanalytics-server-analysis-demo-ozone-detection","to_ping":"","pinged":"","post_modified":"2020-02-21 12:22:14","post_modified_gmt":"2020-02-21 20:22:14","post_content_filtered":"","post_parent":0,"guid":"http:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=386402","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":270772,"post_author":"8132","post_date":"2018-07-26 06:00:40","post_date_gmt":"2018-07-26 13:00:40","post_content":"","post_title":"Visualize aggregated data in ArcGIS GeoAnalytics Server 10.6.1","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"data-aggregation-using-geoanalytics-server","to_ping":"","pinged":"","post_modified":"2019-11-01 14:04:51","post_modified_gmt":"2019-11-01 21:04:51","post_content_filtered":"","post_parent":0,"guid":"http:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=270772","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":82061,"post_author":"7431","post_date":"2018-01-22 09:00:56","post_date_gmt":"2018-01-22 09:00:56","post_content":"","post_title":"What\u2019s new in ArcGIS Enterprise 10.6: Geocode Locations from Table in ArcGIS GeoAnalytics Server","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"whats-new-in-arcgis-enterprise-10-6-geocode-locations-from-table-in-arcgis-geoanalytics-server","to_ping":"","pinged":"","post_modified":"2024-01-25 14:01:50","post_modified_gmt":"2024-01-25 22:01:50","post_content_filtered":"","post_parent":0,"guid":"http:\/\/www.esri.com\/arcgis-blog\/products\/product\/uncategorized\/whats-new-in-arcgis-enterprise-10-6-geocode-locations-from-table-in-arcgis-geoanalytics-server\/","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":123471,"post_author":"7431","post_date":"2018-03-20 05:30:37","post_date_gmt":"2018-03-20 05:30:37","post_content":"This year's Esri Developer Summit was the biggest one yet. Crucial conference highlights\u00a0include:\u00a0the giant outdoor carnival full of games and food and fun, and\u00a0the opportunity to talk with\u00a0visitors\u00a0to\u00a0the\u00a0GeoAnalytics showcase.\u00a0Getting to hear your questions, comments and\u00a0use\u00a0cases\u00a0is always exciting and inspiring.\u00a0In case you weren't there, our team has\u00a0compiled the most frequently asked questions here in hopes of answering yours!\n\n<strong> \u201cWhat is ArcGIS GeoAnalytics Server?\u201d<\/strong>\n\n<a href=\"http:\/\/enterprise.arcgis.com\/en\/server\/latest\/get-started\/windows\/what-is-arcgis-geoanalytics-server-.htm\" target=\"_blank\">GeoAnalytics Server<\/a> is\u00a0a licensing role for one or more ArcGIS Server machines used for the analysis of large volumes of vector and tabular data. What\u2019s unique about these analysis servers is that they can distribute processing across multiple machines and cores. This means that when your datasets become too large to be processed on a single machine or core, GeoAnalytics can step in to speed up that process. Jobs that may have taken months, weeks, or days can take hours or minutes with GeoAnalytics.\n\n<strong>\"I see that the ArcGIS Enterprise portal's Map Viewer has both Standard Tools and GeoAnalytics Tools. What are the differences, and when would I use one or the other?\u201d<\/strong>\n\nStandard tools are available by default in ArcGIS Enterprise and perform feature analysis using your hosting server. These tools are useful when you are processing average-sized data. GeoAnalytics Tools, however, process data in parallel on your GeoAnalytics Server, and are specialized to process larger amounts of data more quickly. Both toolsets contain some similar tools, like Aggregate Points, Join Features, and Find Hot Spots, but GeoAnalytics\u2019 extra edge is that it provides tools to track trends, patterns and anomalies in both space and time.\n\n<a title=\"Compare standard and GeoAnalytics Tools\" href=\"https:\/\/enterprise.arcgis.com\/en\/portal\/latest\/use\/standard-and-big-data-feature-analysis-comparison.htm\" target=\"_blank\">Learn more about standard analysis and GeoAnalytics Tools<\/a>\n\n<strong>\u201cGeoAnalytics, GeoEvent, Insights, and analysis in ArcGIS Pro: How does it all work together?\"<\/strong>\n\nGeoAnalytics, <a title=\"GeoEvent\" href=\"http:\/\/www.esri.com\/arcgis\/products\/geoevent-server\" target=\"_blank\">GeoEvent Server<\/a>, and <a title=\"Insights\" href=\"https:\/\/www.esri.com\/en-us\/arcgis\/products\/insights-for-arcgis\/overview\" target=\"_blank\">Insights for ArcGIS<\/a> complement each other, but also work well in isolation. GeoEvent is used to ingest real-time stream data from sources like sensors and GPS measurements. GeoEvent exposes ingested data as feature layers, which can optionally be explored further in Insights or processed using GeoAnalytics Tools. Insights provides a data workbench experience for your data, allowing you to explore, iterate on and share your findings via charts, graphs and maps. Insights can take advantage of different analysis engines, so while you are using your Insights workbook, your analysis may be powered by Insights, standard analysis tools, or even GeoAnalytics Tools, depending on the configuration of ArcGIS Enterprise.\n\n<strong>\u201cI have a huge dataset, and it\u2019s not drawing quickly. I want to draw a zillion points, how do I do that?\u201d<\/strong>\n\nWell, you may not want to. Why? Because visualizing millions and trillions of features on their own isn\u2019t informative. Instead, consider using GeoAnalytics to visualize big data patterns by aggregating and summarizing trends. This allows you to explore and find patterns that would otherwise go unseen amid your many features. For example, below are millions of\u2026.can you tell? Exactly \u2014\u00a0it\u2019s hard to see anything with that many points. These are taxi pickup locations in New York City (Do not try this at home!)\n\n<a href=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/gax_devsummit.gif\"><img class=\"alignnone size-full wp-image-102575\" src=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/gax_devsummit.gif\" alt=\"NYC Taxi big data dataset aggregated into polygons\" width=\"600\" height=\"608\" \/><\/a>\n\n<strong>\u201cAm I able to automate GeoAnalytics workflows? Does it work with the Jupyter Notebooks I\u2019ve been hearing so much about?\u201d<\/strong>\n\nYes, and yes! The ArcGIS Python API can be used to automate and execute workflows. For those of you who are fans of Jupyter Notebooks, GeoAnalytics Tools can be executed there, too! Additionally, GeoAnalytics Tools can be used with Model Builder in ArcGIS Pro and in ArcPy. If REST is your preferred tool execution method (props to you!) then you can run the tools through the REST API.\n\n<strong>\u201cThat all sounds great. Now,\u00a0how do I install it? Is GeoAnalytics an extension or a separate install?\u201d<\/strong>\n\nGeoAnalytics is a server role within ArcGIS Enterprise, not an extension. It builds off of the ArcGIS Enterprise base deployment. First, install ArcGIS Server and license it for GeoAnalytics, then federate your GeoAnalytics site with your Enterprise portal. You\u2019ll need to also install and configure the ArcGIS Data Store (spatiotemporal big data), used as an output for your results. Once your environment is all set up, you can start crunching some data!\n\nHopefully this was useful in answering your questions. Which features are you excited about? Are you currently using GeoAnalytics? Let us know in the comments below!","post_title":"ArcGIS GeoAnalytics Server: DevSummit 2018 FAQs!","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"arcgis-geoanalytics-server-devsummit-2018-faqs","to_ping":"","pinged":"","post_modified":"2018-06-22 17:06:09","post_modified_gmt":"2018-06-22 17:06:09","post_content_filtered":"","post_parent":0,"guid":"http:\/\/www.esri.com\/arcgis-blog\/products\/product\/uncategorized\/arcgis-geoanalytics-server-devsummit-2018-faqs\/","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/dataGA.jpg","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/hex.jpg"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Following the flow of data in GeoAnalytics Server<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Following the flow of data in GeoAnalytics Server\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server\" \/>\n<meta property=\"og:site_name\" content=\"ArcGIS Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/esrigis\/\" \/>\n<meta property=\"article:modified_time\" content=\"2020-02-21T20:22:08+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@ESRI\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":[\"Article\",\"BlogPosting\"],\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server\"},\"author\":{\"name\":\"Hilary Curtis\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/82f9ceb1682e148893efe05cb245115b\"},\"headline\":\"Following the flow of data in GeoAnalytics Server\",\"datePublished\":\"2019-01-17T01:17:09+00:00\",\"dateModified\":\"2020-02-21T20:22:08+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server\"},\"wordCount\":8,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#organization\"},\"keywords\":[\"ArcGIS Enterprise 10.6.1\",\"Big Data\",\"data flow\",\"GeoAnalytics\",\"GeoAnalytics Server\"],\"articleSection\":[\"Data Management\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server\",\"url\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server\",\"name\":\"Following the flow of data in GeoAnalytics Server\",\"isPartOf\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#website\"},\"datePublished\":\"2019-01-17T01:17:09+00:00\",\"dateModified\":\"2020-02-21T20:22:08+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.esri.com\/arcgis-blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Following the flow of data in GeoAnalytics Server\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#website\",\"url\":\"https:\/\/www.esri.com\/arcgis-blog\/\",\"name\":\"ArcGIS Blog\",\"description\":\"Get insider info from Esri product teams\",\"publisher\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.esri.com\/arcgis-blog\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#organization\",\"name\":\"Esri\",\"url\":\"https:\/\/www.esri.com\/arcgis-blog\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/Esri.png\",\"contentUrl\":\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/Esri.png\",\"width\":400,\"height\":400,\"caption\":\"Esri\"},\"image\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/esrigis\/\",\"https:\/\/x.com\/ESRI\",\"https:\/\/www.linkedin.com\/company\/5311\/\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/82f9ceb1682e148893efe05cb245115b\",\"name\":\"Hilary Curtis\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/12\/1057e88680157c0-150x150.jpg\",\"contentUrl\":\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/12\/1057e88680157c0-150x150.jpg\",\"caption\":\"Hilary Curtis\"},\"description\":\"Hilary is a Product Manager for ArcGIS Enterprise and loves urban ecology, biking and her dog Ada.\",\"url\":\"https:\/\/www.esri.com\/arcgis-blog\/author\/hcurtis\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Following the flow of data in GeoAnalytics Server","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server","og_locale":"en_US","og_type":"article","og_title":"Following the flow of data in GeoAnalytics Server","og_url":"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server","og_site_name":"ArcGIS Blog","article_publisher":"https:\/\/www.facebook.com\/esrigis\/","article_modified_time":"2020-02-21T20:22:08+00:00","twitter_card":"summary_large_image","twitter_site":"@ESRI","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":["Article","BlogPosting"],"@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server#article","isPartOf":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server"},"author":{"name":"Hilary Curtis","@id":"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/82f9ceb1682e148893efe05cb245115b"},"headline":"Following the flow of data in GeoAnalytics Server","datePublished":"2019-01-17T01:17:09+00:00","dateModified":"2020-02-21T20:22:08+00:00","mainEntityOfPage":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server"},"wordCount":8,"commentCount":0,"publisher":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/#organization"},"keywords":["ArcGIS Enterprise 10.6.1","Big Data","data flow","GeoAnalytics","GeoAnalytics Server"],"articleSection":["Data Management"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server","url":"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server","name":"Following the flow of data in GeoAnalytics Server","isPartOf":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/#website"},"datePublished":"2019-01-17T01:17:09+00:00","dateModified":"2020-02-21T20:22:08+00:00","breadcrumb":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.esri.com\/arcgis-blog\/"},{"@type":"ListItem","position":2,"name":"Following the flow of data in GeoAnalytics Server"}]},{"@type":"WebSite","@id":"https:\/\/www.esri.com\/arcgis-blog\/#website","url":"https:\/\/www.esri.com\/arcgis-blog\/","name":"ArcGIS Blog","description":"Get insider info from Esri product teams","publisher":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.esri.com\/arcgis-blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.esri.com\/arcgis-blog\/#organization","name":"Esri","url":"https:\/\/www.esri.com\/arcgis-blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/logo\/image\/","url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/Esri.png","contentUrl":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/Esri.png","width":400,"height":400,"caption":"Esri"},"image":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/esrigis\/","https:\/\/x.com\/ESRI","https:\/\/www.linkedin.com\/company\/5311\/"]},{"@type":"Person","@id":"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/82f9ceb1682e148893efe05cb245115b","name":"Hilary Curtis","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/image\/","url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/12\/1057e88680157c0-150x150.jpg","contentUrl":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/12\/1057e88680157c0-150x150.jpg","caption":"Hilary Curtis"},"description":"Hilary is a Product Manager for ArcGIS Enterprise and loves urban ecology, biking and her dog Ada.","url":"https:\/\/www.esri.com\/arcgis-blog\/author\/hcurtis"}]}},"text_date":"January 16, 2019","author_name":"Multiple Authors","author_page":"https:\/\/www.esri.com\/arcgis-blog\/products\/geoanalytics-server\/data-management\/following-the-flow-of-data-in-geoanalytics-server","custom_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/01\/hex.jpg","primary_product":"ArcGIS GeoAnalytics Server","tag_data":[{"term_id":177182,"name":"ArcGIS Enterprise 10.6.1","slug":"arcgis-enterprise-10-6-1","term_group":0,"term_taxonomy_id":177182,"taxonomy":"post_tag","description":"","parent":0,"count":2,"filter":"raw"},{"term_id":25351,"name":"Big Data","slug":"big-data","term_group":0,"term_taxonomy_id":25351,"taxonomy":"post_tag","description":"","parent":0,"count":36,"filter":"raw"},{"term_id":303752,"name":"data flow","slug":"data-flow","term_group":0,"term_taxonomy_id":303752,"taxonomy":"post_tag","description":"","parent":0,"count":1,"filter":"raw"},{"term_id":35561,"name":"GeoAnalytics","slug":"geoanalytics","term_group":0,"term_taxonomy_id":35561,"taxonomy":"post_tag","description":"","parent":0,"count":19,"filter":"raw"},{"term_id":282382,"name":"GeoAnalytics Server","slug":"geoanalytics-server","term_group":0,"term_taxonomy_id":282382,"taxonomy":"post_tag","description":"","parent":0,"count":3,"filter":"raw"}],"category_data":[{"term_id":23851,"name":"Data Management","slug":"data-management","term_group":0,"term_taxonomy_id":23851,"taxonomy":"category","description":"","parent":0,"count":920,"filter":"raw"}],"product_data":[{"term_id":36941,"name":"ArcGIS GeoAnalytics Server","slug":"geoanalytics-server","term_group":0,"term_taxonomy_id":36941,"taxonomy":"product","description":"","parent":36571,"count":21,"filter":"raw"}],"primary_product_link":"https:\/\/www.esri.com\/arcgis-blog\/?s=#&products=geoanalytics-server","_links":{"self":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog\/410232","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/types\/blog"}],"author":[{"embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/users\/8022"}],"replies":[{"embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/comments?post=410232"}],"version-history":[{"count":0,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog\/410232\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/media?parent=410232"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/categories?post=410232"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/tags?post=410232"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/industry?post=410232"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/product?post=410232"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}