Get started with ArcGIS Velocity

This lesson introduces the various parts of the ArcGIS Velocity app and describes how they relate to each other.

This lesson is designed for beginners. You must have an ArcGIS Online account with access to ArcGIS Velocity. The estimated time to complete this quick lesson is 10 minutes.

Access the app

1. In a web browser, open the ArcGIS Velocity app.
2. Sign in with your ArcGIS Online credentials.

   For the best experience, use Google Chrome or Mozilla Firefox.

   Note:

   If you encounter issues signing in, contact your ArcGIS Online administrator. You may need to be assigned an ArcGIS Online role with privileges to use ArcGIS Velocity.

   Once you're signed in, the Velocity home page appears.

   

   The Velocity home page provides shortcuts to recently created and modified tasks as well as links to documentation and resources.

Explore and create feeds

1. From the main menu on the left, click Feeds under INPUT.

   

   The Feeds page shows a list and status of the configured feeds. A feed is a real-time stream of data coming into Velocity. Feeds typically connect to external sources of observational data such as Internet of Things (IoT) platforms, message brokers, or third-party APIs.

2. On the Feeds page, click Create feed.

   The Select a feed type window appears. You can create a feed from ArcGIS content (such as a feature layer), a cloud-based IoT solution such as Azure Event Hub or AWS IoT, a messaging system such as Kafka or MQTT, data providers such as Verizon Connect Reveal, or social media platforms.

   

   For more information about creating feeds, see the Create a feed quick lesson.

3. Close the Select a feed type window.
4. Familiarize yourself with the capabilities in the Feeds list:

   • Sort the feed list by title, executable status, running status, input rate, and more.
   • Click the play or stop button to start or stop a feed.
   • Click the edit button to edit a feed.
   • Click the map viewer button to open a feed in ArcGIS Online Map Viewer.
   • Click the more button to access additional actions including viewing item details, cloning (copying), deleting, viewing logs, and sharing a feed.

   

Explore and create analytics

1. From the main menu, click Real-Time under ANALYTICS and explore the Real-Time Analytics page.

   

   The Real-Time Analytics page displays the list and status of real-time analytics. A real-time analytic performs processing on data being collected through a feed and analyzes each individual message as it is received. Real-time analytics are typically used for transforming data, geofencing, and incident detection.

2. Click Create real-time analytic.
3. Click Existing feed to select an existing feed from your organization.

   

4. In the Select existing feed window, click the My Content drop-down menu and choose My Organization.

   

5. Select an existing feed from your organization. If none are available, proceed to step 8.
6. Click Confirm.

   The real-time analytic editor appears. You can add analytic tools and outputs to configure a step-by-step real-time processing workflow. For more information about designing real-time analytics, see the Design a real-time analytic quick lesson.

   

7. Click Cancel to close the real-time analytic editor and return to the Real-Time Analytics page.
8. From the main menu, click Big Data under ANALYTICS and explore the Big Data Analytics page.

   

   The Big Data Analytics page displays the list and status of big data analytics. A big data analytic performs batch analysis on stored data such as data in a feature layer or in cloud big data stores such as Amazon S3 and Azure Blob Store. Big data analytics are typically used for summarizing observations, performing pattern analysis, and incident detection.

   For more information about designing big data analytics, see the Design a big data analytic quick lesson.

9. Familiarize yourself with the options on both the Real-Time Analytics and Big Data Analytics pages:

   • Sort the analytics by title, executable status, running status, input rate, and more.
   • Click the play or stop buttons to start or stop an analytic. When you start a real-time analytic, it continues to run until you stop it. A big data analytic runs until the analysis is complete ; then it stops automatically.
   • Click the edit button to edit an analytic.
   • Click the more button to access additional actions including viewing item details, cloning (copying) the analytic, deleting the analytic, and viewing analytic logs.

   

Explore layers and results

1. From the main menu, click Layers under OUTPUT and explore the Layers page.

   

   The Layers page displays a list of output layers such as stream layers, feature layers, and map image layers.

   Layers are created by configuring outputs in real-time or big data analytics. When the analytic runs, the output layer or layers are automatically created. You can manage the layers or add them to a web map for visualization.

2. Familiarize yourself with the options on the Layers page:

   • Sort the list by title, type, or associated dataset.
     • Every feature layer has an associated map image layer, both of which are based on the same underlying data. Deleting a feature layer also deletes associated map image layers and the underlying data. For details, see Feature Layer (new).
     • Stream layers visualize real-time data only; there is no dataset. For details, see Stream Layer.
   • Click the edit button to edit a map image layer. You can adjust the default rendering of the dynamic aggregation. For details, see Visualize map image layers.
   • Click the map viewer button to add a layer to a web map.
   • Click the more button to access additional actions including viewing the item details page and deleting the layer.

   

Next steps

You explored the ArcGIS Velocity app to understand how to work with feeds, analytics, and output layers.

Continue exploring Velocity with the Create a feed, Design a real-time analytic, and Design a big data analytic quick lessons.