61 datasets found
  1. a

    02.2 Transforming Data Using Extract, Transform, and Load Processes

    • hub.arcgis.com
    Updated Feb 18, 2017
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    Iowa Department of Transportation (2017). 02.2 Transforming Data Using Extract, Transform, and Load Processes [Dataset]. https://hub.arcgis.com/documents/bcf59a09380b4731923769d3ce6ae3a3
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    Dataset updated
    Feb 18, 2017
    Dataset authored and provided by
    Iowa Department of Transportation
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    To achieve true data interoperability is to eliminate format and data model barriers, allowing you to seamlessly access, convert, and model any data, independent of format. The ArcGIS Data Interoperability extension is based on the powerful data transformation capabilities of the Feature Manipulation Engine (FME), giving you the data you want, when and where you want it.In this course, you will learn how to leverage the ArcGIS Data Interoperability extension within ArcCatalog and ArcMap, enabling you to directly read, translate, and transform spatial data according to your independent needs. In addition to components that allow you to work openly with a multitude of formats, the extension also provides a complex data model solution with a level of control that would otherwise require custom software.After completing this course, you will be able to:Recognize when you need to use the Data Interoperability tool to view or edit your data.Choose and apply the correct method of reading data with the Data Interoperability tool in ArcCatalog and ArcMap.Choose the correct Data Interoperability tool and be able to use it to convert your data between formats.Edit a data model, or schema, using the Spatial ETL tool.Perform any desired transformations on your data's attributes and geometry using the Spatial ETL tool.Verify your data transformations before, after, and during a translation by inspecting your data.Apply best practices when creating a workflow using the Data Interoperability extension.

  2. Adressen - Bonn

    • opendata-esri-de.opendata.arcgis.com
    Updated Feb 4, 2020
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    Esri Deutschland (2020). Adressen - Bonn [Dataset]. https://opendata-esri-de.opendata.arcgis.com/maps/ce92904eaa80482faf73c76fb950a591
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    Dataset updated
    Feb 4, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Deutschland
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Der Datensatz liefert die Geokoordinaten der Hausnummern in Bonn mit Angabe des Gemeindeschlüssels, Verwaltungsheinheit, Gemeindename, Ortsteil, Straßen-Schlüssel und Straßennamen.Quelle: OFFENE DATEN: BONNVerarbeitungsprozesse: JSON Datei wurde mit FME und ArcGIS Pro konvertiert und als Feature Service in ArcGIS Online veröffentlicht.

  3. ForestOrderLabelLN

    • usfs.hub.arcgis.com
    Updated Jul 27, 2023
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    U.S. Forest Service (2023). ForestOrderLabelLN [Dataset]. https://usfs.hub.arcgis.com/datasets/usfs::forestorderlabelln/explore
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    Dataset updated
    Jul 27, 2023
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    Area covered
    Description

    Title 36, Code of Federal Regulations, Chapter II, Subpart B, may close an area to entry or may restrict the use of an area by applying any or all of the prohibitions authorized by the code of regulations. These prohibitions, usually referred to as a forest order, are required to be displayed in [a] manner as to reasonably bring the prohibition to the attention of the public.Official documentation on this code and its subparts can be found here: https://www.gpo.gov/fdsys/pkg/CFR-2011-title36-vol2/pdf/CFR-2011-title36-vol2-sec261-50.pdfThis feature class was created from a joint request from Office of Communications and Fire & Aviation Management at the forest level to allow for an interactive map display of forest orders to the public. In order to maintain consistency across the region, a workflow has been established to facilitate the display of forest orders to the public. Each forest will maintain a forest order feature class. Through FME workbench, a regional forest order feature class will be updated daily from the Forests’ feature classes via FME scheduler. The regional feature class is driven by the dates in the Forests’ feature classes, which allows for historical collection of forest orders. The FME workbench also creates and publishes to ArcGIS Online a region-wide forest order map service from the regional feature class. This map service is displayed in an individually created web map that each forest can embed on their public facing website.

  4. a

    MARTA Stops

    • fultoncountyopendata-fulcogis.opendata.arcgis.com
    • opendata.atlantaregional.com
    • +2more
    Updated Mar 15, 2019
    + more versions
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    City of Sandy Springs (2019). MARTA Stops [Dataset]. https://fultoncountyopendata-fulcogis.opendata.arcgis.com/items/6a3f564adbc647b0a4e412c8eae5b8ec
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    Dataset updated
    Mar 15, 2019
    Dataset authored and provided by
    City of Sandy Springs
    Area covered
    Description

    Data provided by Metropolitan Atlanta Rapid Transit Authority (MARTA) General Transit Feed Specification (GTFS) at https://www.itsmarta.com/app-developer-resources.aspxCity of Sandy Springs translates the stops, shapes, routes and trip files in FME with FME Workbench. The Stops and Routes are published to ArcGIS online. General Transit Feed SpecificationThe MARTA GTFS feed is updated approximately four times per year, which is about how often MARTA service changes. It will be published to the same URL with each new update.

  5. a

    Fahrradstellplätze - Bonn

    • opendata-esri-de.opendata.arcgis.com
    Updated Jan 31, 2020
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    Esri Deutschland (2020). Fahrradstellplätze - Bonn [Dataset]. https://opendata-esri-de.opendata.arcgis.com/datasets/esri-de-content::fahrradstellpl%C3%A4tze-bonn-1
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    Dataset updated
    Jan 31, 2020
    Dataset authored and provided by
    Esri Deutschland
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Standorte mit Bezeichnung der öffentlichen Fahrradstellplätze im Bonner Stadtgebiet.Quelle: OFFENE DATEN: BONNVerarbeitungsprozesse: JSON Datei wurde mit FME und ArcGIS Pro konvertiert, nach WebMercator projiziert und als Feature Service in ArcGIS Online veröffentlicht.

  6. TasWater - Sewer Nodes

    • data.gov.au
    unknown format
    Updated Oct 11, 2019
    + more versions
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    TasWater (2019). TasWater - Sewer Nodes [Dataset]. https://data.gov.au/dataset/ds-listtas-b8e2dcf6-9be1-4c61-8361-533297c856d4
    Explore at:
    unknown formatAvailable download formats
    Dataset updated
    Oct 11, 2019
    Dataset provided by
    TasWaterhttps://www.taswater.com.au/
    Description

    Sewer Nodes has been compiled from a number of TasWater supplied datasets (south, north and north-west regions). Datasets converted, merged and reprojected (where necessary) into GDA using Feature …Show full descriptionSewer Nodes has been compiled from a number of TasWater supplied datasets (south, north and north-west regions). Datasets converted, merged and reprojected (where necessary) into GDA using Feature Manipulation Engine (FME) before being stored in an ESRI ArcSDE environment.

  7. a

    Buildings Pavement Area - Sandy Springs, Georgia (hosted)

    • opendata.atlantaregional.com
    • gisdata.fultoncountyga.gov
    • +4more
    Updated Dec 1, 2013
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    City of Sandy Springs (2013). Buildings Pavement Area - Sandy Springs, Georgia (hosted) [Dataset]. https://opendata.atlantaregional.com/datasets/COSS::buildings-pavement-area-sandy-springs-georgia-hosted
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    Dataset updated
    Dec 1, 2013
    Dataset authored and provided by
    City of Sandy Springs
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Bridges, Buildings, and Street Pavement area as derived from lidar data in 2013 and digitized from aerial photography with ad hoc updates. The field “Layer” delineates if the record is a bridge, building, or road. This is typically used as a cartographic layer and not an impervious surface assessment; however, it may be useful as a proxy measure for built-upon area estimations. For example, areas with more buildings and pavement will probably have more impervious surface, but this layer does not account for private parking lots, swimming pools, or other impervious features. Data is updated by an automated process using FME. Note to administrators, do not rename or move this feature service without updating underlying FME process.

  8. a

    Lärmpegel: 24h - Bonn

    • hub.arcgis.com
    Updated May 7, 2018
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    Esri Deutschland (2018). Lärmpegel: 24h - Bonn [Dataset]. https://hub.arcgis.com/datasets/esri-de-content::l%C3%A4rmpegel-24h-bonn/data
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    Dataset updated
    May 7, 2018
    Dataset authored and provided by
    Esri Deutschland
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Der Datensatz liefert den mittlerer Lärmpegel des ganzen Jahres (Stand 2012). Der resultierenden Lärmpegel wird in dB(A) angegeben.Quelle: OFFENE DATEN: BONNVerarbeitungsprozesse: JSON Datei wurde mit FME und ArcGIS Pro konvertiert, nach WebMercator projiziert und als Feature Service in ArcGIS Online veröffentlicht.

  9. a

    UJI Green Area FME

    • uji-sdi-hub-uji.hub.arcgis.com
    Updated Jan 14, 2023
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    SmartUJI (2023). UJI Green Area FME [Dataset]. https://uji-sdi-hub-uji.hub.arcgis.com/items/b2af31cb142344b79658d6517adf2c89
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    Dataset updated
    Jan 14, 2023
    Dataset authored and provided by
    SmartUJI
    Area covered
    Description

    This shapefile contains the green area of a small portion of the UJI campus extracted using FME extraction tools to extract the green area from a drone image.

  10. a

    MARTA Routes

    • hub.arcgis.com
    • gisdata.fultoncountyga.gov
    • +1more
    Updated Mar 15, 2019
    + more versions
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    City of Sandy Springs (2019). MARTA Routes [Dataset]. https://hub.arcgis.com/maps/COSS::marta-routes
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    Dataset updated
    Mar 15, 2019
    Dataset authored and provided by
    City of Sandy Springs
    Area covered
    Description

    Data provided by Metropolitan Atlanta Rapid Transit Authority (MARTA) General Transit Feed Specification (GTFS) at https://www.itsmarta.com/app-developer-resources.aspxCity of Sandy Springs translates the stops, shapes, routes and trip files in FME with FME Workbench. The Stops and Routes are published to ArcGIS online. General Transit Feed SpecificationThe MARTA GTFS feed is updated approximately four times per year, which is about how often MARTA service changes. It will be published to the same URL with each new update.

  11. r

    Vergleich und Bewertung des bisherigen Integrationsprozesses sowie der...

    • katalog.rundertischgis.de
    Updated Apr 29, 2022
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    (2022). Vergleich und Bewertung des bisherigen Integrationsprozesses sowie der Anwendungen für amtliche LoD2-Daten am Landratsamt Cham - Vergleich und Bewertung des bisherigen Integrationsprozesses sowie der Anwendungen für amtliche LoD2-Daten am Landratsamt Cham - Datasets - Aktivitätenkatalog des Vereins Runder Tisch GIS e.V. [Dataset]. https://katalog.rundertischgis.de/dataset/vergleich-und-bewertung-cham
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    Dataset updated
    Apr 29, 2022
    Area covered
    Cham, Cham
    Description

    Der Landkreis Cham betreibt im öffentlich Bürgerservice bereits seit Jahren ein WebPortal auf Basis von ArcGIS Online mit einem hybriden Ansatz (Datenhaltung On-Premises). 2021 wurde nun auch die interne GIS-Nutzung in einem geschlossenen kommunalen Behördennetz auf dieselbe Technologie auf Basis von ArcGIS Enterprise umgestellt (komplett On-Premises). Hierbei eröffneten sich auch für die „Normalanwender“ enorme 3D-Möglichkeiten, die zuvor nur den „Power-Usern“ mit Desktop-GIS vorbehalten waren. Eine der Grundvoraussetzungen hierfür ist die performante und einfache Nutzung von 3D-Szenen-Daten und -Diensten in Webbrowsern. Das i3s-Format (unter ArcGIS SLPK) hat sich hier als sehr gut geeignet erwiesen. Die Ableitung solcher Datensätze bedingt aber zum einen eine hohe fachliche Qualifikation der Administratoren. Zum anderen werden FME-Technologien, beispielsweise über ArcGIS Data Interoperability for Desktop, benötigt. Über beides verfügen leider nicht viele Landkreise. Von dem kommenden OGC-Standard 3D Portrayal Service und der Beteiligung an dem Projekt der RT GIS e.V. versprechen wir uns hier eine grundsätzliche Abhilfe. Neben LoD2-Daten wurden von uns landkreisweit auch DGM1-, DOP20- und DOM40- und testweise auch DOM20-Daten (nur Stadt Cham) eingebunden. Hier ein Beispiel (Stadtplatz Furth im Wald)

  12. a

    Parkhäuser - Bonn

    • opendata-esri-de.opendata.arcgis.com
    Updated May 3, 2018
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    Esri Deutschland (2018). Parkhäuser - Bonn [Dataset]. https://opendata-esri-de.opendata.arcgis.com/datasets/esri-de-content::parkh%C3%A4user-bonn/data
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    Dataset updated
    May 3, 2018
    Dataset authored and provided by
    Esri Deutschland
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Der Datensatz liefert die Standorte der Parkhäuser in Bonn. Für die Parkhäuser der City Parkraum GmbH stehen auch die aktuellen Belegdaten als API zur Verfügung.Quelle: OFFENE DATEN: BONNVerarbeitungsprozesse: JSON Datei wurde mit FME und ArcGIS Pro konvertiert, nach WebMercator projiziert und als Feature Service in ArcGIS Online veröffentlicht.

  13. a

    Parkplätze - Bonn

    • opendata-esri-de.opendata.arcgis.com
    Updated Feb 25, 2020
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    Esri Deutschland (2020). Parkplätze - Bonn [Dataset]. https://opendata-esri-de.opendata.arcgis.com/datasets/esri-de-content::parkpl%C3%A4tze-bonn/data
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    Dataset updated
    Feb 25, 2020
    Dataset authored and provided by
    Esri Deutschland
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Standorte mit Bezeichnung der öffentlichen Parkplätze (PKW-, Motorrad-, Wohnmobil/Wohnwagen- und Busparkplätze) im Bonner Stadtgebiet.Quelle: OFFENE DATEN: BONNVerarbeitungsprozesse: JSON Datei wurde mit FME und ArcGIS Pro konvertiert, nach WebMercator projiziert und als Feature Service in ArcGIS Online veröffentlicht.

  14. R04 All Forest Orders REGISTERED

    • usfs.hub.arcgis.com
    Updated Mar 31, 2023
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    U.S. Forest Service (2023). R04 All Forest Orders REGISTERED [Dataset]. https://usfs.hub.arcgis.com/datasets/e399eefa1ad64f4597c3729ed11cebb2
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    Dataset updated
    Mar 31, 2023
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    R4 Forest Order ArcGIS Server map service layer registered in ArcGIS Online.A Forest Order is a polygon that represents the area of a prohibition. A prohibition that is a line or point feature, such as a road closed to motor vehicle use, will be represented by a buffer of the line or point feature to create a polygon. The forest order feature class contains existing and/or future forest orders on National Forest System lands in the Intermountain Region (Region 4). This dataset is in development and may not represent all prohibition. The Alerts & Notices link at https://www.fs.usda/gov/r4 as well as the individual forest sites should be examine for the most current information. Title 36, Code of Federal Regulations, Chapter II, Subpart B, may close an area to entry or may restrict the use of an area by applying any or all of the prohibitions authorized by the code of regulations. These prohibitions, usually referred to as a forest order, are required to be displayed in [a] manner as to reasonably bring the prohibition to the attention of the public. Official documentation on this code and its subparts can be found here. In order to maintain consistency across the region, a workflow has been adopted to facilitate the generation of forest order data. Each forest will maintain a forest order feature class. Through FME workbench, a regional forest order feature class will be updated daily from the forests feature classes via FME scheduler. The regional feature class is driven by the dates in the forests feature classes, which allows for collection of forest orders. Full metadata can be found at here.

  15. a

    Städtische Liegenschaften - Bonn

    • opendata-esri-de.opendata.arcgis.com
    Updated May 2, 2018
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    Esri Deutschland (2018). Städtische Liegenschaften - Bonn [Dataset]. https://opendata-esri-de.opendata.arcgis.com/datasets/esri-de-content::st%C3%A4dtische-liegenschaften-bonn
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    Dataset updated
    May 2, 2018
    Dataset authored and provided by
    Esri Deutschland
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Flächen aller städtischer Liegenschaften (Grundstücke der Stadt Bonn) im Bonner Stadtgebiet mit Ausnahme von Pachtgrundstücken.Quelle: OFFENE DATEN: BONNVerarbeitungsprozesse: JSON Datei wurde mit FME und ArcGIS Pro konvertiert, nach WebMercator projiziert und als Feature Service in ArcGIS Online veröffentlicht.

  16. a

    Shared Use Path Public

    • data-coss.opendata.arcgis.com
    • opendata.atlantaregional.com
    • +3more
    Updated Jan 15, 2020
    + more versions
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    City of Sandy Springs (2020). Shared Use Path Public [Dataset]. https://data-coss.opendata.arcgis.com/datasets/shared-use-path-public
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    Dataset updated
    Jan 15, 2020
    Dataset authored and provided by
    City of Sandy Springs
    Area covered
    Description

    Updates every Friday via FME. FME updates this layer and the hosted public-view CIP layers.Any edits to the Shared Use Path locations should be done in SDE.

  17. a

    PCC 3Waters Asset Data

    • data-wellingtonwater.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jul 4, 2022
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    wwl_administrator (2022). PCC 3Waters Asset Data [Dataset]. https://data-wellingtonwater.opendata.arcgis.com/maps/599dbad3af174ce18ccfa8dad4564491
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    Dataset updated
    Jul 4, 2022
    Dataset authored and provided by
    wwl_administrator
    Area covered
    Description

    PCC 3Waters Asset Data exported from the Master Database at Wellington Water Ltd. It is made up of 19 layers. Please check the date for the latest Data Updated date.Height levels are in terms of NZVD2016 as of 1 July 2022.*This Federated Feature Service references our data in an Enterprise geodatabase (egdb) which is updated daily via FME workbench from InfoAsset. It has limited symbology and includes Abandoned, removed & virtual assets. It's purpose is so that staff can access the raw data which is updated daily. They can add it to their Arc Pro projects and it allows them to view the attribute tables & change symbols. It's other purpose is so that councils and the public can download the data form our Open Data Portal. It is only shared with our organisation in Enterprise because we dont want the public to use it as it is hosted on "our" server which is not as robust as the ESRI server. Also, if it's shared with the public, it may slow down the service for our staff. So every week it is copied to AGOL as a Hosted Feature Service which is shared with the public and our Open Data Portal.

  18. a

    SWDC Potable Water Hydrant

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jul 5, 2022
    + more versions
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    wwl_administrator (2022). SWDC Potable Water Hydrant [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/d9314faa76174c7d855297e0cc18b4dc
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    Dataset updated
    Jul 5, 2022
    Dataset authored and provided by
    wwl_administrator
    Area covered
    Description

    SWDC 3Waters Asset Data exported out of Master database daily at Wellington Water Ltd (WWL). Height levels are in terms of NZVD2016 as of 1 July 2022.*This Federated Feature Service references our data in an Enterprise geodatabase (egdb) which is updated daily via FME workbench from InfoAsset. It has limited symbology and includes Abandoned, removed & virtual assets. It's purpose is so that staff can access the raw data which is updated daily. They can add it to their Ar Pro projects and it allows them to view the attribute tables & change symbols. It's other purpose is so that councils and the public can download the data form our Open Data Portal. It is only shared with our organisation in Enterprise because we dont want the public to use it as it is hosted on "our" server which is not as robust as the ESRI server. Also, if it's shared with the public, it may slow down the service for our staff. So every week it is copied to AGOL as a Hosted Feature Service which is shared with the public and our Open Data Portal.

  19. a

    SWDC Potable Water Valve

    • data-wellingtonwater.opendata.arcgis.com
    Updated Jul 5, 2022
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    wwl_administrator (2022). SWDC Potable Water Valve [Dataset]. https://data-wellingtonwater.opendata.arcgis.com/datasets/d9314faa76174c7d855297e0cc18b4dc
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    Dataset updated
    Jul 5, 2022
    Dataset authored and provided by
    wwl_administrator
    Area covered
    Description

    SWDC 3Waters Asset Data exported out of Master database daily at Wellington Water Ltd (WWL). Height levels are in terms of NZVD2016 as of 1 July 2022.*This Federated Feature Service references our data in an Enterprise geodatabase (egdb) which is updated daily via FME workbench from InfoAsset. It has limited symbology and includes Abandoned, removed & virtual assets. It's purpose is so that staff can access the raw data which is updated daily. They can add it to their Ar Pro projects and it allows them to view the attribute tables & change symbols. It's other purpose is so that councils and the public can download the data form our Open Data Portal. It is only shared with our organisation in Enterprise because we dont want the public to use it as it is hosted on "our" server which is not as robust as the ESRI server. Also, if it's shared with the public, it may slow down the service for our staff. So every week it is copied to AGOL as a Hosted Feature Service which is shared with the public and our Open Data Portal.

  20. a

    Amtrak Train Current Locations

    • colorado-geospatial-cooit.hub.arcgis.com
    • data.colorado.gov
    • +1more
    Updated Dec 4, 2024
    + more versions
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    State of Colorado (2024). Amtrak Train Current Locations [Dataset]. https://colorado-geospatial-cooit.hub.arcgis.com/datasets/amtrak-train-current-locations/about
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    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    State of Colorado
    Area covered
    Description

    Amtrak train locations are updated every 15 minutes in this dataset via an automation in FME Flow. FME uses an HTTP Caller to extract JSON data from api-v3.amtraker.com, an API made and updated by piemadd on GitHub. The GitHub library and its creator have no relation to Amtrak. Once the JSON data is pulled in to FME, it is flattened and formatted so individual train locations can be mapped via provided coordinates. Users can compare this feature layer to the Track Your Train Map hosted by Amtrak; the original intent of this layer was to provide the Amtrak train location data in a useable GIS format rather than an app that cannot be expanded upon with extra detail or functionality.

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Iowa Department of Transportation (2017). 02.2 Transforming Data Using Extract, Transform, and Load Processes [Dataset]. https://hub.arcgis.com/documents/bcf59a09380b4731923769d3ce6ae3a3

02.2 Transforming Data Using Extract, Transform, and Load Processes

Explore at:
Dataset updated
Feb 18, 2017
Dataset authored and provided by
Iowa Department of Transportation
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Description

To achieve true data interoperability is to eliminate format and data model barriers, allowing you to seamlessly access, convert, and model any data, independent of format. The ArcGIS Data Interoperability extension is based on the powerful data transformation capabilities of the Feature Manipulation Engine (FME), giving you the data you want, when and where you want it.In this course, you will learn how to leverage the ArcGIS Data Interoperability extension within ArcCatalog and ArcMap, enabling you to directly read, translate, and transform spatial data according to your independent needs. In addition to components that allow you to work openly with a multitude of formats, the extension also provides a complex data model solution with a level of control that would otherwise require custom software.After completing this course, you will be able to:Recognize when you need to use the Data Interoperability tool to view or edit your data.Choose and apply the correct method of reading data with the Data Interoperability tool in ArcCatalog and ArcMap.Choose the correct Data Interoperability tool and be able to use it to convert your data between formats.Edit a data model, or schema, using the Spatial ETL tool.Perform any desired transformations on your data's attributes and geometry using the Spatial ETL tool.Verify your data transformations before, after, and during a translation by inspecting your data.Apply best practices when creating a workflow using the Data Interoperability extension.

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