{"id":1894122,"date":"2023-04-20T11:50:58","date_gmt":"2023-04-20T18:50:58","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1894122"},"modified":"2023-04-20T11:57:57","modified_gmt":"2023-04-20T18:57:57","slug":"new-in-arcgis-enterprise-11-1-custom-data-feeds","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-enterprise\/developers\/new-in-arcgis-enterprise-11-1-custom-data-feeds","title":{"rendered":"New in ArcGIS Enterprise 11.1: custom data feeds"},"author":10222,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[738191],"tags":[769542,769552,42301,769802,35821],"industry":[],"product":[36571],"class_list":["post-1894122","blog","type-blog","status-publish","format-standard","hentry","category-developers","tag-11-1","tag-arcgis-2023","tag-arcgis-enterprise","tag-custom-data-feeds","tag-whats-new-in-arcgis-enterprise","product-arcgis-enterprise"],"acf":{"short_description":"ArcGIS Enterprise 11.1 introduces custom data feeds, which allow you to publish read-only feature services from any data source.","flexible_content":[{"acf_fc_layout":"content","content":"

Creating feature services from any data source of your choosing may sound like a dream, but it\u2019s here today with custom data feeds.<\/p>\n

Custom data feeds are a new feature included in the ArcGIS Enterprise 11.1 release<\/a>, part of the ArcGIS 2023 releases.\u00a0 With custom code you can now create read-only feature services, ready to be used anywhere in the ArcGIS system and beyond.<\/p>\n

Note: Custom data feeds are only available for ArcGIS Enterprise on Windows and Linux and are not available in ArcGIS Enterprise on Kubernetes.<\/em><\/p>\n

Read on to learn more about custom data feeds; how they work in the ArcGIS System and a quick overview of the steps to create them in your own ArcGIS Enterprise environment.<\/p>\n

Data sources in ArcGIS Enterprise<\/h1>\n

Before getting into custom data feeds, let\u2019s talk a bit about data.\u00a0 The majority of data is vector and raster \u2013 and of course there\u2019s more data types, such as LIDAR, real-time, etc.\u00a0 Data sources themselves can vary too.\u00a0 There\u2019s file geodatabases, enterprise geodatabases, cloud data warehouses, and more.\u00a0 All of these data types and sources, and more, are supported in ArcGIS Enterprise<\/a>.<\/p>\n

Even with all these different types of data sources, there\u2019s a lot more data out there.\u00a0 Our world is full of content that can be considered data.\u00a0 There is spatial data found in Elasticsearch, MongoDB, Twitter, or even your local city\u2019s website.\u00a0 And there are of course many, many more data sources to consider.<\/p>\n

While you wouldn\u2019t have been able to connect to these data sources directly through ArcGIS Enterprise before, this is now possible with custom data feeds.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1894192,"id":1894192,"title":"Data","filename":"DataSources.jpg","filesize":269868,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/DataSources.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-enterprise\/developers\/new-in-arcgis-enterprise-11-1-custom-data-feeds\/datasources","alt":"A diagram of all the data sources ArcGIS Enterprise can connect to.","author":"10222","description":"A diagram of all the data sources ArcGIS Enterprise can connect to.","caption":"Custom data feeds allow you to connect to more data sources than ever before.","name":"datasources","status":"inherit","uploaded_to":1894122,"date":"2023-04-03 21:49:19","modified":"2023-04-03 21:50:09","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":1920,"height":1080,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/DataSources-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/DataSources.jpg","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/DataSources.jpg","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/DataSources.jpg","large-width":1920,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/DataSources-1536x864.jpg","1536x1536-width":1536,"1536x1536-height":864,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/DataSources.jpg","2048x2048-width":1920,"2048x2048-height":1080,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/DataSources-826x465.jpg","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/DataSources-1920x1080.jpg","wide_image-width":1920,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"sidebar","content":"

Koop and custom data feeds<\/strong><\/p>\n

If reading about custom data feeds has made you think of Koop, that\u2019s no surprise because custom data feeds is built off the same technology that Koop is built off of.\u00a0 While Koop and custom data feeds are technically similar, there are some features that set custom data feeds apart.<\/p>\n

Custom data feeds are part of ArcGIS Enterprise and are fully supported.\u00a0 There is seamless ArcGIS Enterprise integration with content, security, services, and more.<\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Center","spotlight_image":false},{"acf_fc_layout":"content","content":"

Understanding custom data feeds<\/h1>\n

Custom data feeds allow for the data to stay in its data source while ArcGIS Enterprise reads it and writes it to a read-only, non-editable feature service.\u00a0 This read-only feature service has the same underlying architecture found in other ArcGIS Enterprise feature services; it works the same in clients that consume feature service.<\/p>\n

Configuring your custom data feeds environment<\/h2>\n

There are two environments to consider when configuring custom data feeds: a developer environment and a server environment.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1894202,"id":1894202,"title":"Custom data feeds environments","filename":"Environments.jpg","filesize":106923,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Environments.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-enterprise\/developers\/new-in-arcgis-enterprise-11-1-custom-data-feeds\/environments-2","alt":"Custom data feeds require two environments: a developer machine and a server machine.","author":"10222","description":"Custom data feeds require two environments: a developer machine and a server machine.","caption":"Custom data feeds require two environments: a developer machine and a server machine.","name":"environments-2","status":"inherit","uploaded_to":1894122,"date":"2023-04-03 21:53:26","modified":"2023-04-03 21:54:08","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":1920,"height":736,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Environments-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Environments.jpg","medium-width":464,"medium-height":178,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Environments.jpg","medium_large-width":768,"medium_large-height":294,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Environments.jpg","large-width":1920,"large-height":736,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Environments-1536x589.jpg","1536x1536-width":1536,"1536x1536-height":589,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Environments.jpg","2048x2048-width":1920,"2048x2048-height":736,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Environments-826x317.jpg","card_image-width":826,"card_image-height":317,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Environments.jpg","wide_image-width":1920,"wide_image-height":736}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

The developer environment is where you will need to have the Node.js runtime installed.\u00a0 Next, you can then install the ArcGIS Enterprise SDK, which includes the necessary tooling to create custom data providers.\u00a0 For further information on how to configure this environment, take a look at our product documentation.<\/p>\n

The server environment is where ArcGIS Server is installed and configured.\u00a0 This ArcGIS Server can be part of an ArcGIS Enterprise deployment or it can be a standalone ArcGIS Server environment.\u00a0 ArcGIS Server contains the necessary APIs for custom data feeds: the deployment API, the create service API, and the REST framework critical to this workflow.\u00a0 The custom data feed runtime will need to be installed on the same machine as ArcGIS Server.\u00a0 This powers the execution environment for custom data providers. This runtime contains all the necessary binaries to execute provider source code in JavaScript.<\/p>\n"},{"acf_fc_layout":"sidebar","content":"

In previous releases of ArcGIS Enterprise, the ArcGIS Enterprise SDK has only been associated with server object extensions (SOEs) and server object interceptors (SOIs).\u00a0 This release of ArcGIS Enterprise builds upon this by adding custom data feeds as a new type of extensibility available in ArcGIS Enterprise.<\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Center","spotlight_image":false},{"acf_fc_layout":"content","content":"

Publishing a feature service from a custom data feed<\/h1>\n

Once your environment has been properly configured, you are ready to ready to start creating your feature services!<\/p>\n

Creating a custom data feed can be accomplished in four steps:<\/p>\n

    \n
  1. Create a custom data provider<\/li>\n
  2. Deploy the custom data provider<\/li>\n
  3. Create a feature service<\/li>\n
  4. Consume the feature service!<\/li>\n<\/ol>\n

    Step 1: Create a custom data provider<\/h2>\n

    To create your custom data provider, open command prompt on the developer machine; you will be using the cdf command line tool.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1894222,"id":1894222,"title":"CDF","filename":"CDF.png","filesize":377041,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/CDF.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-enterprise\/developers\/new-in-arcgis-enterprise-11-1-custom-data-feeds\/cdf","alt":"Image of command prompt with the cdf command line tool open.","author":"10222","description":"Image of command prompt with the cdf command line tool open.","caption":"The cdf command line tool comes installed with the ArcGIS Enterprise SDK.","name":"cdf","status":"inherit","uploaded_to":1894122,"date":"2023-04-03 21:58:44","modified":"2023-04-03 21:59:51","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":1316,"height":752,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/CDF-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/CDF.png","medium-width":457,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/CDF.png","medium_large-width":768,"medium_large-height":439,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/CDF.png","large-width":1316,"large-height":752,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/CDF.png","1536x1536-width":1316,"1536x1536-height":752,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/CDF.png","2048x2048-width":1316,"2048x2048-height":752,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/CDF-814x465.png","card_image-width":814,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/CDF.png","wide_image-width":1316,"wide_image-height":752}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

    Next, you will create a skeleton Node.js app.\u00a0 Using the IDE of your choice, you can open the project and add the relevant provider information.\u00a0 While the product documentation contains samples to help get you going here, the provider information will vary depending on the data source and what information you want to include in your feature services.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1894242,"id":1894242,"title":"IDE","filename":"IDE.png","filesize":980152,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/IDE.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-enterprise\/developers\/new-in-arcgis-enterprise-11-1-custom-data-feeds\/ide","alt":"Image of an IDE editing the custom data feed project.","author":"10222","description":"Image of an IDE editing the custom data feed project.","caption":"Using the IDE of your choice, you can edit your custom data feed provider project.","name":"ide","status":"inherit","uploaded_to":1894122,"date":"2023-04-03 22:00:35","modified":"2023-04-03 22:21:31","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":1920,"height":1051,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/IDE-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/IDE.png","medium-width":464,"medium-height":254,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/IDE.png","medium_large-width":768,"medium_large-height":420,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/IDE.png","large-width":1920,"large-height":1051,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/IDE-1536x841.png","1536x1536-width":1536,"1536x1536-height":841,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/IDE.png","2048x2048-width":1920,"2048x2048-height":1051,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/IDE-826x452.png","card_image-width":826,"card_image-height":452,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/IDE.png","wide_image-width":1920,"wide_image-height":1051}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

    Once you are done adding the necessary provider information to the project, you can export a custom data provider package (.cdpk) through command prompt using the cdf command line tool.<\/p>\n

    Step 2: Deploy the custom data provider<\/h2>\n

    Once the .cdpk has been exported, it can be uploaded via the ArcGIS Server REST Admin API using the upload operation.\u00a0 Once uploaded successfully, there will be an item ID that you will need to make note of.\u00a0 This item ID will be used to register the custom data provider with ArcGIS Server.\u00a0 This allows ArcGIS Server will know this custom data provider can be used as a data source for feature services.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1894292,"id":1894292,"title":"Untitled","filename":"Untitled.gif","filesize":4357589,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Untitled.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-enterprise\/developers\/new-in-arcgis-enterprise-11-1-custom-data-feeds\/untitled-16","alt":"","author":"10222","description":"","caption":"Once the .cdpk is created, it will need to be uploaded via the ArcGIS Server REST Admin API.","name":"untitled-16","status":"inherit","uploaded_to":1894122,"date":"2023-04-03 22:18:21","modified":"2023-04-03 22:19:43","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1600,"height":900,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Untitled-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Untitled.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Untitled.gif","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Untitled.gif","large-width":1600,"large-height":900,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Untitled-1536x864.gif","1536x1536-width":1536,"1536x1536-height":864,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Untitled.gif","2048x2048-width":1600,"2048x2048-height":900,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Untitled-826x465.gif","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Untitled.gif","wide_image-width":1600,"wide_image-height":900}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

    Step 3: Create a feature service<\/h2>\n

    Once the custom data provider has been registered with ArcGIS Server, you\u2019ll still be working in the ArcGIS Server REST Admin API to create your feature service via JSON.\u00a0 Make sure to update the feature service JSON object with the correct provider name and associated properties before creating a feature service. This feature service will connect with the custom data provider to serve data from the appropriate source. This feature service will be read-only and will only have query capabilities enabled for all layers.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1894262,"id":1894262,"title":"Step 3","filename":"Step-3.png","filesize":246871,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Step-3.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-enterprise\/developers\/new-in-arcgis-enterprise-11-1-custom-data-feeds\/step-3","alt":"An image of the ArcGIS Server REST Admin API, where a feature service can be created.","author":"10222","description":"An image of the ArcGIS Server REST Admin API, where a feature service can be created.","caption":"Feature services can be created through the ArcGIS Server REST Admin API.","name":"step-3","status":"inherit","uploaded_to":1894122,"date":"2023-04-03 22:06:49","modified":"2023-04-03 22:07:59","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":1524,"height":597,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Step-3-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Step-3.png","medium-width":464,"medium-height":182,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Step-3.png","medium_large-width":768,"medium_large-height":301,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Step-3.png","large-width":1524,"large-height":597,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Step-3.png","1536x1536-width":1524,"1536x1536-height":597,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Step-3.png","2048x2048-width":1524,"2048x2048-height":597,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Step-3-826x324.png","card_image-width":826,"card_image-height":324,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/Step-3.png","wide_image-width":1524,"wide_image-height":597}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

    Step 4: Consume the feature service!<\/h2>\n

    Once the feature service is created, the feature service is ready for use!\u00a0 It will show up in your ArcGIS Server REST directory.\u00a0 If using ArcGIS Enterprise, it will show up in your content as well.<\/p>\n

    This feature service is just like any other ArcGIS Enterprise feature service, meaning it\u2019s the same at REST, in your Enterprise portal, in your clients.\u00a0 Your users don\u2019t know need to worry if this feature service came from file geodatabase, SQL Server, or a custom data provider \u2013 it\u2019s all the same for the clients.\u00a0 You can consume this feature service in the client of your choice.\u00a0 You\u2019re good to go!<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1894312,"id":1894312,"title":"CDF_client","filename":"MapViewer-scaled.png","filesize":1809011,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/MapViewer-scaled.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-enterprise\/developers\/new-in-arcgis-enterprise-11-1-custom-data-feeds\/mapviewer-3","alt":"Image of data from a custom data feed being displayed in Map Viewer.","author":"10222","description":"Image of data from a custom data feed being displayed in Map Viewer.","caption":"Feature services from custom data feeds are ready to be consumed in the client of your choice.","name":"mapviewer-3","status":"inherit","uploaded_to":1894122,"date":"2023-04-03 22:26:26","modified":"2023-04-03 22:27:42","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":2560,"height":1295,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/MapViewer-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/MapViewer-scaled.png","medium-width":464,"medium-height":235,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/MapViewer-scaled.png","medium_large-width":768,"medium_large-height":389,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/MapViewer-scaled.png","large-width":1920,"large-height":971,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/MapViewer-1536x777.png","1536x1536-width":1536,"1536x1536-height":777,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/MapViewer-2048x1036.png","2048x2048-width":2048,"2048x2048-height":1036,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/MapViewer-826x418.png","card_image-width":826,"card_image-height":418,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/MapViewer-1920x971.png","wide_image-width":1920,"wide_image-height":971}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

    Let us know what you think<\/h1>\n

    This is just the beginning for custom data feeds in ArcGIS Enterprise.\u00a0 Add a comment below if there is something specific you\u2019d like to see in a future release of custom data feeds.\u00a0 We look forward to hearing from you!<\/p>\n"}],"authors":[{"ID":10222,"user_firstname":"Jill","user_lastname":"Edstrom-Shoemaker","nickname":"Jill Edstrom-Shoemaker","user_nicename":"jedstrom","display_name":"Jill Edstrom-Shoemaker","user_email":"JEdstrom@esri.com","user_url":"","user_registered":"2019-11-22 17:01:50","user_description":"Jill leads the ArcGIS Enterprise and data management product management teams. She focuses her time on enabling customers to get the most they can out of their ArcGIS software by aligning product strategy with real world implementation needs. Outside of work, Jill is working her way through visiting all the U.S. national parks, though she is more often found reading a good book with her dog by her side.","user_avatar":""}],"related_articles":"","card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/CustomDataFeed_Card.jpg","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/04\/CustomDataFeed_Banner.jpg"},"yoast_head":"\nNew in ArcGIS Enterprise 11.1: custom data feeds<\/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\/arcgis-enterprise\/developers\/new-in-arcgis-enterprise-11-1-custom-data-feeds\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"New in ArcGIS Enterprise 11.1: custom data feeds\" \/>\n<meta property=\"og:url\" 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