1. Home
  2. Previous Releases
  3. Latest Release
  4. Guides
  5. Concepts
  6. Tools
  7. References
    1. Apache Spark
    2. Built-in Functions
    3. Incorta Component SDK
    4. Incorta Connector SDK
    5. Connectors
      1. AlloyDB
      2. Amazon Web Services (AWS) Athena
      3. Amazon Web Services (AWS) DynamoDB
      4. Amazon Web Services (AWS) RedShift
      5. Amazon Web Services (AWS) S3
      6. Apache Drill
      7. Apache Hadoop HDFS
      8. Apache Hive
      9. Apache Kafka
      10. Autoline
      11. Box
      12. Cassandra (Simba)
      13. Cassandra (Incorta)
      14. Cisco Meraki
      15. Cosmos DB
      16. Custom CData
      17. Custom SQL
      18. Dropbox
      19. File System (LocalFiles)
      20. Freshservice
      21. FTP
      22. Google BigQuery
      23. Google Cloud Storage (GCS)
      24. Google Drive
      25. Google Sheets
      26. GraphQL
      27. IBM DB2
      28. IBM Netezza
      29. JIRA
      30. JSON
      31. Kyuubi
      32. Local Files
      33. MariaDB
      34. Microsoft Azure Gen2
      35. Microsoft OneDrive
      36. Microsoft SharePoint
      37. Microsoft SQL Server
      38. Microsoft SQL Server (JTDS)
      39. MongoDB BI
      40. MySQL
      41. NetSuite - Saved Searches
      42. NetSuite - SuiteAnalytics
      43. NetSuite - SuiteQL
      44. NetSuite - Web Service
      45. OneLogin
      46. Oracle
      47. Oracle B2C Service
      48. Oracle Cloud Applications (UCM)
      49. Oracle Cloud Applications
      50. Oracle CPQ
      51. Oracle EPM
      52. Oracle Essbase
      53. Oracle OTM/GTM
      54. Oracle Sales Cloud
      55. Oracle WMS
      56. PostgreSQL
      57. Presto
      58. Salesforce v2
      59. SAP ERP
      60. SAP Hana
      61. SAP Sybase IQ
      62. ServiceNow
      63. SFTP
      64. Smartsheet
      65. Snowflake
      66. Splunk
      67. Teradata
      68. Vertica
      69. XML
      70. Zuora
    6. Data Studio
    7. Public API
    8. Security
    9. SQL Interface
    10. Visualizations
    11. Other
  8. Integrations
  9. Data applications
  10. Releases
  11. Incorta Premium

Connectors → Oracle Transportation and Global Trade Management

About Oracle OTM/GTM

Oracle Transportation and Global Trade Management (OTM/GTM) systems manage all transportation activity throughout your global supply chain and trading. It combines ease of use with industry-leading capabilities.

Oracle OTM/GTM Connector Updates

This section is to explore the updates in the newer versions of the Oracle OTM/GTM connector available on the Incorta connectors marketplace.

In order to get the newer version of the connector, please update the connector using the marketplace.

VersionUpdates
2.0.1.0Support data extraction via Data Export API (in addition to the Business Object Resources API), allowing for extracting archived data along with current data
2.0.2.0Support uploading an optional, user-defined, line-separated list of tables that can be discovered and extracted via the Oracle OTM/GTM connector.
2.2.1.0Support uploading an optional user-defined list of tables that can be discovered and extracted via the Oracle OTM/GTM connector.
Available starting 2024.7.x

About the Oracle OTM/GTM Connector

With the Oracle OTM/GTM connector, you can get data from Oracle OTM/GTM inside Incorta. You can create dashboards and insights based on this data to help your organization make good decisions.

This connector fetches data from your Oracle OTM/GTM system using a set of REST APIs.

Note

This connector only supports Oracle OTM/GTM version 23A and is available for preview only.

The Oracle OTM/GTM connector supports the following Incorta-specific functionality:

FeatureSupported
Chunking✔ (via Business Object Resources API only)
Data Agent
Encryption at Ingest
Incremental Load✔
Multi-Source✔
OAuth✔
Performance Optimized✔
Remote
Single-Source✔
Spark Extraction
Webhook Callbacks

Steps to connect Oracle OTM/GTM and Incorta

To connect Oracle OTM/GTM and Incorta, here are the high-level steps, tools, and procedures:

Create an external data source

Here are the steps to create an external data source with the Oracle OTM/GTM connector:

  • Sign in to the Incorta Direct Data Platform™.
  • In the Navigation bar, select Data.
  • In the Action bar, select + New → Add Data Source.
  • In the Choose a Data Source dialog, in Database, select Oracle OTM/GTM.
  • In the New Data Source dialog, specify the applicable connector properties.
  • To test, select Test Connection.
  • Select Ok to save your changes.

Oracle OTM/GTM connector properties

Here are the properties for the Oracle OTM/GTM connector:

PropertyControlDescription
Name Your Data Sourcetext boxEnter a name for your data source.
Domaintext boxEnter the URL for your Oracle OTM/GTM System in the following format:
https://<servicename>-<identity-domain-name>.otm.<data-center>.oraclecloud.com/
Usernametext boxEnter your username.
Passwordtext boxEnter your password.
Max concurrent callstext boxEnter the maximum number of concurrent calls that Incorta sends to Oracle OTM/GTM. The default is 5 calls.
Timeout in secondstext boxEnter the time in seconds to wait for a response from Oracle OTM/GTM. The default is 600 seconds.
Extract Data Using REST APIs Fordropdown listSelect the API type you want to use for data extraction:
  ●  Business Object Resources (default)
  ●  Data Export
Metadata cache time (hours)text boxThis option is available when you select the Business Object Resources API type.
Specify the time to cache the JSON response for table and column discovery. Set to 0 for no caching.
Include Archived Transactional DatatoggleThis option is available when you select the Data Export API type.
Turn on this toggle to extract archived data along with current data.
OTM Tables ListbuttonOptionally upload a text file that contains a line-separated list of tables to be discovered and extracted. These tables will be available in the Table Data Source dialog under the Others schema.
Extra Optionstext boxEnter supported extra options in the form of key=value.
Note

Before version 2.0.1.0, data extraction is available via Business Object Resources API only.

Create a schema with the Schema Wizard

Here are the steps to create an Oracle OTM/GTM schema with the Schema Wizard:

  • Sign in to the Incorta Direct Data Platform.
  • In the Navigation bar, select Schema.
  • In the Schema Manager, in the Action bar, select + New → Schema Wizard.
  • In (1) Choose a Source, specify the following:
    • For Enter a name, enter the schema name.
    • For Select a Datasource, select the Oracle OTM/GTM source.
    • Optionally create a description.
  • In the Schema Wizard footer, select Next.
  • In (2) Manage Tables, in the Data Panel, first, select the name of the Data Source, and then check the Select All checkbox.
  • In the Schema Wizard footer, select Next.
  • In (3) Finalize, in the Schema Wizard footer, select Create Schema.

Create a schema with the Schema Designer

Here are the steps to create an Oracle OTM/GTM schema using the Schema Designer:

  • Sign in to the Incorta Direct Data Platform.
  • In the Navigation bar, select Schema.
  • In the Action bar, select + New → Create Schema.
  • In Name, specify the schema name, and select Save.
  • In the Schema Designer, in the Action bar, select + New → Table.
  • In the Table Data Source dialog, specify the table data source properties.
  • Select Add.
  • In the Table Editor, in the Table Summary section, enter the table name.
  • To save your changes, select Done in the Action bar.

Oracle OTM/GTM data source properties

For a schema table in Incorta, you can define the following Oracle OTM/GTM-specific data source properties as follows:

PropertyControlDescription
Typedropdown listSpecify the data source type. Select Oracle OTM/GTM
Data Sourcedropdown listSelect the Oracle OTM/GTM data source you want to use
APIs Typedropdown listSelect the API to use to extract data:
  ●  Business Object Resources (default)
  ●  Data Export
Catalogdropdown listSelect the Oracle OTM/GTM catalog
Schemadropdown listSelect the schema you want to extract data from.
  ●  Business Objects
  ●  Power Data
  ●  Others (available only if you upload the list of tables when creating the data source)
Tabledropdown listSelect the table to extract its data
Selected Columnstext boxEnter a comma-separated (with no spaces) list of columns to retrieve. Leave it empty to include all columns in the source table. Column names are case-sensitive.
Fetch Sizetext boxSpecify the number of records to retrieve per page in the list request to the REST service. The maximum value is 1000.
Extraction Filtertext boxEnter the filter to limit the records to extract.
This option is available when you select Business Object Resources for the APIs Type.
Example: (insertDate le 2019-10-30T02:19:06-07:00) and (not descriptionText pr) or ((revenue gt "300000 USD") and (weight ge"80 LB" and weight le "100 LB"))
For details, refer to REST API for Business Object Resources > Manage Collections
Extract Inserted and Updated Data Aftertext boxOptional. Specify the start date and time for the period during which updated or inserted data in the selected table will be included in the extraction.
This option is available when you select Data Export for the APIs Type.
Extract Inserted and Updated Data Beforetext boxOptional. Specify the end date and time for the period during which updated or inserted data in the selected table will be included in the extraction.
This option is available when you select Data Export for the APIs Type.
IncrementaltoggleTurn on this toggle to enable incremental load
Incremental Columntext boxEnter the source table column to be used for the incremental load filter. It must be a Date/Timestamp column. The default is updateDate.
Chunking Methoddropdown listSelect the chunking method to initiate parallel extracts for large tables:
  ●  No Chunking
  ●  By Data/Timestamp
This option, along with its related options, is supported in the Business Object Resources integration API only.
Order Column [Date/Timestamp]text boxThis option is available when you enable chunking.
Enter the source table column you want to order records by before chunking. It must be a Date/Timestamp column. The default is the insertDate.
Order Column Typedropdown listSelect the type of the chunking order column:
  ●  Data
  ●  Timestamp
Chunk Perioddropdown listSelect the chunk period that will be used in dividing chunks:
  ●   Daily
  ●   Weekly (default)
  ●  Monthly
  ●  Yearly
  ●  Custom
Number of daystext boxSelect Custom for the Chunk Period to set this property. Enter the chunking period in days.
Lower Bound for Order Columntext boxEnter the minimum value for the order column.
Upper Bound for Order Columntext boxOptional. Enter the maximum value for the order column.
CallbacktoggleEnable post extraction callback, that is, enabling callback on the data source data set(s) by invoking a certain callback URL with parameters containing details about the load job
Callback URLtext boxEnable Callback to configure this property. Specify the callback URL.

View the schema diagram with the Schema Diagram Viewer

Here are the steps to view the schema diagram using the Schema Diagram Viewer:

  • Sign in to the Incorta Direct Data Platform.
  • In the Navigation bar, select Schema.
  • In the list of schemas, select the Oracle OTM/GTM schema.
  • In the Schema Designer, in the Action bar, select Diagram.

Load the schema

Here are the steps to perform a Full Load of the Oracle OTM/GTM schema using the Schema Designer:

  • Sign in to the Incorta Direct Data Platform.
  • In the Navigation bar, select Schema.
  • In the list of schemas, select the Oracle OTM/GTM schema.
  • In the Schema Designer, in the Action bar, select Load → Full Load.
  • To review the load status, in Last Load Status, select the date.

Explore the schema

With the full load of the Oracle OTM/GTM schema complete, you can use the Analyzer to explore the schema, create your first insight, and save the insight to a new dashboard.

To open the Analyzer from the schema, follow these steps:

  • In the Navigation bar, select Schema.
  • In the Schema Manager, in the List view, select the Oracle OTM/GTM schema.
  • In the Schema Designer, in the Action bar, select Explore Data.