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Data Interoperability Basics

Learn how to work with data in various formats, perform format conversions and complex data transformations, and enable spatial ETL processes in ArcGIS without coding. Explore direct data access, quick data translation, and powerful spatial ETL workflows using the Data Interoperability Extension. Use cases include data integration, distribution, migration, validation, change detection, automation, and more. Try it for free.

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Data Interoperability Basics

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  1. Data Interoperability Basics Bruce Harold & Dale Lutz

  2. 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

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

  4. Common Uses

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

  6. Demo Direct read data in ArcCatalog

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

  8. Quick Import / Export Move data between Geodatabasesand any supported format Fast, simple data conversions Import non-native data to Geodatabaseto edit in ArcMap Export feature classes to any supported format

  9. Demo Quick Import from MapInfo TAB Quick Export to PDF

  10. Demo Summary Quick Import TAB to Geodatabase Quick Export a Geodatabasefeature class to PDF

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

  12. What is Spatial ETL? Extract Transform Load

  13. Demo Transform Shapefile to Geodatabasewith the Spatial ETL Tool and modify output data model

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

  15. Common Use #1 Integrate multiple formats

  16. Common Use #2 Distribute data to different systems

  17. Demo Integrate multiple sources and distribute to multiple destinations

  18. Common Use #3:Migrate data between systems Move data between various database formats Control which tables to move to which output systems Parameter allows youto specify whether toappend to existing FileGeodatabase output

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

  20. Demo Validate data and output QA report

  21. Common Use #5 Detect changes

  22. Demo Detect changes in polygon data

  23. Common Use #6:Automate ArcGIS Data Interoperability for Server extension Add format support and transformations to your applications Publish maps containing non-Esridata, 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

  24. Recap

  25. 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

  26. Thank you… • Please fill out the session survey in your mobile app • Select Data Interoperability Extension: An Introduction • Use the Search Feature to quickly find this title • Click “Technical Workshop Survey” • Answer a few short questions and enter any comments

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