Ten Ways to Integrate Data with ArcGIS Enterprise: Additional Resources

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In this blog, we discuss ten ways to integrate data with ArcGIS Enterprise. If you haven't read it yet, go check it out! For anyone who wants to dive deeper into any of the approaches discussed in the blog, these additional resources are available to help get you started:

General resources

• Short video: Your Data & ArcGIS Enterprise
• ArcGIS Enterprise Overview
• ArcGIS Architecture Center

1. Add data via the ArcGIS Enterprise portal

• Items in ArcGIS Enterprise
• Content you can add in the ArcGIS Enterprise portal
• Publish hosted feature layers

2. Share data by reference from ArcGIS Pro

• Share your work in ArcGIS Pro
• Introduction to sharing web layers
• User-managed data stores in ArcGIS Enterprise
• Supported databases and data warehouses
• Data and publishing in ArcGIS Enterprise
• About sharing feature layers as a reference
• Share feature layers from an enterprise geodatabase
• Geodatabase Resources Hub 
• Integrating data from cloud data warehouses with ArcGIS - Resources
• Tutorial: Publish data from an enterprise geodatabase
• Instructor Led Course: Sharing Content to ArcGIS Enterprise

3. Use the ArcGIS Data Interoperability extension

• ArcGIS Data Interoperability Overview
• Video: ArcGIS Data Interoperability: An Overview
• A quick tour of the ArcGIS Data Interoperability extension
• ArcGIS Data Interoperability server extension
• ArcGIS Data Interoperability Community Blog

4. Publish layers in bulk from relational databases

• Publish layers in bulk from a user-managed data store
• Manage bulk-published layers

5. Publish large datasets as scene or tile layers

• ArcGIS Blog: What’s New in ArcGIS Enterprise 10.9: Publishing large cache contents
• Publish a scene layer from a cache dataset
• Publish a layer from a 3D tiles dataset
• Publish a tile layer from a cache dataset
• Publish a vector tile layer from a cache dataset

6. Automate integration with ArcGIS Python libraries

• ArcGIS Notebook Server - Get Started
• List of available python libraries in ArcGIS Enterprise
• ArcGIS API for Python Documentation
• ArcGIS API for Python Community Blog
• Learning Plan: ArcGIS API for Python Fundamentals

7. Connect to any data source using custom data feeds

• ArcGIS Blog: New in ArcGIS Enterprise 11.1: custom data feeds
• Publish a feature service from a custom data provider in ArcGIS Server Manager
• Publish a feature layer from a custom data provider in ArcGIS Enterprise
• Enabling feature editing in custom data feeds
• Video: Extending ArcGIS Enterprise with Custom Data Feeds

8. Serve imagery using ArcGIS Image Server

• ArcGIS Image Server for ArcGIS Enterprise
• What is an image service?
• Video: ArcGIS Image Server: Imagery Management at Scale
• Case Study: UDOT Leverages GIS to Manage Its Right-of-Way

9. Stream real-time data with ArcGIS GeoEvent Server

• ArcGIS GeoEvent Server Overview
• ArcGIS GeoEvent Server Documentation
• Case Study: Port of New Orleans
• GeoEvent Server tutorials

10. Share data using distributed collaboration

• About distributed collaboration
• ArcGIS Blog: Collaborate between ArcGIS Enterprise, ArcGIS Online and ArcGIS Field Maps
• ArcGIS Blog: Harnessing distributed collaboration for forest restoration
• Video: Distributed Collaboration: Editing Across Environments

Bonus: Streamline data preparation workflows using ArcGIS Data Pipelines (Coming Soon!)

• ArcGIS Data Pipelines Overview
• ArcGIS Data Pipelines Community

 

Questions, comments, or feedback? Feel free to share in the comments section below.

Thank you!

VenkataKondepati

Great overview, thanks for laying out the different ways to integrate data with ArcGIS Enterprise in one place. I really like how the blog ties each approach to practical resources and examples, from traditional publishing workflows to modern options like custom data feeds and data pipelines.

In my experience, teams often start with hosted layers or enterprise geodatabases, but as data volumes grow, automation with the ArcGIS API for Python and connections to cloud data warehouses become essential. The mention of Data Pipelines is exciting too simplifying prep and integration workflows will be a huge benefit for many organizations.

This is a great resource not only for GIS admins but also for data engineers exploring how ArcGIS Enterprise fits into their larger ecosystem. Looking forward to seeing more on real-world use cases and best practices for scaling these approaches.

Regards,
Venkat