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ArcGIS Enterprise: Administration Workflows

Essential concepts for enterprise administrators.

What is this course about?

Master techniques to configure and maintain an ArcGIS Enterprise solution that meets your organization's business needs. You will learn about ArcGIS Enterprise architecture, server licensing roles and extensions, and the capabilities that support common GIS patterns of use. Best practices to manage servers, data, and services while ensuring high availability and system performance over time are covered.

Course details

Price

IDR15,484,500.00

Location

Jakarta

Duration

3 days

Level

Advanced

Category

Server and Web Course

Software

Esri will provide the following software to use during class:

  • ArcGIS Pro 3.1 (Standard)
  • ArcGIS Enterprise 11.1 (Standard)
  • ArcGIS GeoEvent Server
  • ArcGIS Image Server
  • ArcGIS Notebook Server

Are there any prerequisites?

Completion of ArcGIS Enterprise: Configuring a Base Deployment or equivalent knowledge.

What skills will I learn?

  • Apply best practices to configure GIS resources and services.
  • Maintain system performance using workload separation and other best practices.
  • Configure distributed collaboration between multiple ArcGIS Enterprise portals.
  • Use ArcGIS Notebooks and ArcGIS API for Python to automate common administrative functions.

What can I expect?

  • 1. Business needs and ArcGIS Enterprise solutions
    • Mapping business needs to a system deployment
    • Architecting the ArcGIS System: Best Practices
    • Explore infrastructure capabilities
    • Expanding capabilities Using the ArcGIS Enterprise Functionality Matrix
    • Business needs and ArcGIS Server licensing roles
  • 2. Adding capabilities through federation
    • Base ArcGIS Enterprise deployment
    • Federating additional server sites
    • Explore considerations for federating additional server sites
    • Exercise environment
    • Exercise 2: Federate an Image Server site
  • 3. Ensuring resilient scaling through distributed computing
    • Distributed computing and business needs
    • Explore ArcGIS Enterprise high availability
    • Making ArcGIS Enterprise components highly available
    • Explore workload separation
    • Comparing high availability and workload separation
    • Workload separation by server capability
    • Exercise 3: Implement workload separation
  • 4. Web service fundamentals
    • Web service fundamentals
    • Explore user-managed data and ArcGIS-managed data
    • How layers enable efficient exposure of services
    • Understand the relationship between services and layers
    • Exercise 4: Compare layers, services, and data
  • 5. User-managed data
    • Types of user-managed data
    • Referencing registered data from
    • ArcGIS Pro Capabilities for services that use user-managed data
    • Versioning
    • Exercise 5: Perform branch versioning workflows
  • 6. Optimizing services that reference user-managed data
    • Service instances
    • Service instance types
    • Exploring service instances
    • Consider when to use shared instances
    • Exercise 6: Work with shared instances
    • Reviewing ArcGIS Server logs and statistics reports
    • ArcGIS Monitor
    • Troubleshooting common service performance issues
  • 7. ArcGIS-managed data
    • ArcGIS Data Store
    • Types of ArcGIS-managed data
    • Relationship between data storage options and service type
    • ArcGIS Data Store backup options
    • ArcGIS Data Store backup defaults
    • Managing ArcGIS Data Store using command utilities
    • Exercise 7: Manage ArcGIS Data Store backups
  • 8. Optimizing services that use ArcGIS-managed data
    • Services that use or interact with ArcGIS-managed data
    • Optimizing hosted feature services using the object store
    • Distributed data enables distributed analysis
    • Exploring distributed raster analytics results
    • Determining a service optimization strategy
    • Exercise 8: Use ArcGIS Server to optimize feature analysis
  • 9. The spatiotemporal big data store
    • Understanding the spatiotemporal big data store
    • ArcGIS Enterprise and the spatiotemporal big data store
    • How the spatiotemporal big data store relates to other ArcGIS Enterprise components
    • Exercise 9: Explore data in the spatiotemporal big data store
    • Distributed data and the spatiotemporal big data store
    • Distributed analysis and the spatiotemporal big data store
  • 10. Configuring a real-time analysis solution
    • Real-time data
    • Working with real-time data
    • What is a GeoEvent?
    • Explore configuring real-time analytics
    • Building a GeoEvent Service in GeoEvent Manager
    • Exercise 10: Configure a GeoEvent Service to write real-time data to a spatiotemporal big data store
  • 11. Distributed collaboration
    • Sharing content between portals
    • Distributed collaboration
    • Planning for a collaboration
    • Steps to create a distributed collaboration
    • Explore sharing content in a collaboration
    • Exercise 11: Use a collaboration to share content
  • 12. Automating ArcGIS Enterprise
    • Automating administrative tasks
    • Automation strategies
    • ArcGIS Notebooks and ArcGIS Notebook Server
    • Exercise 12A: Create webhooks as an automation strategy in ArcGIS Enterprise
    • Working with ArcGIS API for Python
    • Architecture considerations for ArcGIS Notebook Server
    • Exercise 12B: Use ArcGIS Notebooks to schedule administrative tasks in ArcGIS Enterprise