Data Interoperability Basics - Esri UC 2015

Aug 5, 2015Download as PPTX, PDF0 likes1,267 views

This session will focus on the functionality added to ArcGIS for Desktop applications by the ArcGIS Data Interoperability extension. It will cover the 6 common uses of the extension, including the added format support and how to author Extract Transform Load (ETL) workflows with the Spatial ETL Tool.

Data Interoperability Basics
Dale Lutz & Bruce Harold

What is the Data Interoperability Extension?
• Work with data in hundreds of formats, both native and
non-native to ArcGIS
• Simple format conversion or complex data transformations
• Transform data content and/or structure
• No coding required

What is the Data Interoperability Extension?
• Adds 3 components to ArcGIS:
1. Direct data access
2. Quick data translation
3. Powerful Spatial ETL processes

Direct Read
• Quickly read data in any supported format
• Examine geometry, attributes, metadata in
non-native ArcGIS formats

1. Enable the extension
2. Browse to data in catalog tree
• Refresh connection to prune empty
feature classes
3. Create Interoperability Connection
• Allows you to specify parameters
Demo Summary

Quick Import / Export
• Move data between Geodatabases and any
supported format
• Fast, simple data conversions
• Import non-native data to Geodatabase to edit
in ArcMap
• Export feature classes to any supported format

Demo
Quick Import from MapInfo TAB
Quick Export to PDF

1. Quick Import TAB to Geodatabase
2. Quick Export a Geodatabase feature
class to PDF
Demo Summary

Spatial ETL Tool
• Build powerful ETL (extract, transform, load)
workflows
• Perform data transformations: manipulate data
model, coordinate system, feature types,
geometry, attributes …

What is Spatial ETL?
Extract Transform Load

Demo
Transform Shapefile to Geodatabase
with the Spatial ETL Tool and modify
output data model

1. Create Spatial ETL Tool: SHP to GDB
2. Feature Types represent schema (i.e. data
model). Modify output schema on writer
feature type
3. Transformers manipulate data content
4. Run tool and view output with Data
Interoperability Inspector
Demo Summary

Common Use #1
Integrate multiple formats

Common Use #2
Distribute data to different systems

Demo
Integrate multiple sources and
distribute to multiple destinations

• Move data between various database formats
• Control which tables to move to which output
systems
• Parameter allows you
to specify whether to
append to existing File
Geodatabase output
Common Use #3:
Migrate data between systems

Common Use #4:
Data validation
Check attribute values
Fix geometry

• ArcGIS Data Interoperability for Server extension
• Add format support and transformations to your
applications
• Publish maps containing non-Esri data, to view from
browser or another application
• Integrate Spatial ETL tools and Quick Import/Export tools
with other Geoprocessing tools in the ModelBuilder
• Publish workflows to ArcGIS Server to execute in that
environment
Common Use #6:
Automate

Try it free
• Download a trial at esri.com/datainteroperability
- Support for 100+ data formats
- GML-SF and WFS are always free
• Resources
- Esri Virtual Campus – search “Spatial ETL” on training.esri.com
- Transforming Data Using Extract, Transform, and Load Processes
- Controlling Data Translations Using Extract, Transform, and Load Processes
- Data Validation checklist and webinar – fme.ly/validation
- FME and ArcGIS Online resources – fme.ly/agol

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How a Data Mesh is Driving our Platform | Trey Hicks, GlooHostedbyConfluent

2013 Enterprise Track, Using Spatial ETL in a Multi-vendor Enterprise GIS Env...GIS in the Rockies

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