| Oracle® Retail Predictive Application Server and Applications Cloud Edition Security Guide Release 21.0 F51066-02 |
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This chapter covers integrating information across multiple RPASCE domains.
The client/server interactions of RPASCE define how users may access the system but are not effective for larger scale modification of the data of the system. To allow for these operations, RPASCE supports bulk data load and export operations. RPASCE supports only file-based integration. These files are provided to and retrieved from the system through the use of an SFTP server that is part of the provisioned environment.
The RPASCE platform supports the bulk creation of user accounts as a part of the domain build process. This bulk creation is accomplished by supplying a users.xml document with the other configuration inputs provided for the domain build.The information contained within the supplied file is used to create a set of users and user groups within the RPASCE domain as a convenience; subsequent user maintenance is performed using the administrative user management templates. Note that user accounts created in this fashion will not have access to the system until they are provisioned within the OID. See the individual application Administrative Guides for information on creating and maintaining users in the OID.
The RPASCE platform stores data within an embedded BTree database located within the domain on the file system. As such, it is necessary to manage the integration of the data within an RPASCE domain with other domains or with outside systems through a set of data import and export operations.
The primary operations used for this are the loadhier and loadmeasure utilities for importing data and the exportHier and exportmeasure utilities for exporting data. These operations can be performed either directly through scheduling a task in the Online Administration Tool interface or indirectly through the RPASCE batch framework.
The RPASCE platform supports the importing of data from and exporting of data to text files. These files provide an efficient method of moving large amounts of data into or out of an RPASCE domain. Based on configuration options for these tasks, the input and output files will be transferred via the SFTP server (for integration with non-cloud applications) or via an internal (single-tenant) file holding area for integration between multiple Oracle Cloud applications.
Details on secure access to the SFTP server, including instructions for setting up SSH keys, may be found in the Nightly Batch File Uploads section of each cloud application's Administration Guide.
RPASCE includes an optional component known as Planning Data Store (PDS). RPASCE PDS allows a configurable subset of RPASCE data and metadata to be stored in an Oracle Database for the purposes of multi-application integration and reporting.
RPASCE PDS enforces a least privileges model of database access control. The PDS installation process will create, in its standard configuration, ten Oracle schemas. Only one of these schemas, the Data Mart schema, will own persistent data tables. The remaining schemas have defined access rights, as required by particular RPASCE Server processes. Oracle DB login details for these schemas are stored in an Oracle Wallet, created and managed internally to the RPASCE Cloud Service. Figure 6-0 shows all schemas and the corresponding role and connection alias for each.
Table 6-1 Schemas
| Schema Name | Role | DB Connection Alias |
|---|---|---|
|
rpas_data_mart |
N/A |
rpas_data_mart_conn |
|
rpas_patch_user |
rpas_patch_role |
rpas_patch_conn |
|
rpas_batch_user |
rpas_batch_role |
rpas_batch_conn |
|
rpas_dimload_user |
rpas_dimload_role |
rpas_dimload_conn |
|
rpas_factload_user |
rpas_factload_role |
rpas_factload_conn |
|
rpas_hiermgr_user |
rpas_hiermgr_role |
rpas_hiermgr_conn |
|
rpas_wkbk_user |
rpas_wkbk_role |
rpas_wkbk_conn |
|
rpas_etl_user |
rpas_etl_role |
rpas_etl_conn |
|
rpas_bdi_user |
rpas_bdi_role |
rpas_bdi_conn |
|
rpas_rdonly_user |
rpas_rdonly_role |
rpas_rdonly_conn |
The RPASCE PDS installer creates the required schemas and set their permissions.
The RPAS PDS build process (a set of binary utilities and shell scripts) creates all schema objects and load metadata.
The rpas_bdi_user schema is open to Oracle Bulk Data Integration (BDI). The BDI installation process takes username and password of rpas_bdi_schema, and creates a separate Wallet for its own internal use.
The rpas_rdonly_user schema is created for Oracle RESTful Data Service (ORDS) web services. The web services are read-only, so the rpas_rdonly_user schema has read only access to PDS.
Customers can make use of Oracle ReSTful Data Services (ORDS) to invoke web services that supply the data stored with in the Planning Data Store. Several standard web service endpoints are provided, and it is possible to create additional endpoints to supplement those provided.
The access provided to ORDS by the Planning Data Store allows only for reading data; there is no capability for modification of the data contained within the Planning Data Store. The endpoints provided are intended for use by external systems that connect to ORDS through the use of system accounts.
In order to connect to the Planning Data Store through ORDS, the account representing the external process must exist within the OCI IAM instance associated with the application. Additionally, that account must belong to the group RPAS_ORDS_GROUP. All unauthenticated access requests and any requests made by a user who is not a member of the RPAS_ORDS_GROUP will be denied.
In order to create additional service endpoints, it is necessary for a user to gain limited administrative access to ORDS. First, the user must exist within the OCI IAM instance and belong to the RPAS_ORDS_GROUP role. Second, a service request must be created to give that user access to the ORDS administrative UI.
Once access is granted, authorized users will be able to access parts of the ORDS administrative UI that allow the creation and registration of endpoints. However, they will not have access to other administrative functions (such as security policy management) of the ORDS instance.
RPASCE makes use of a service provider, Pendo, in order to deliver guided learning for RPASCE applications and to collect analytic information about application usage, which is used for product training improvements and feature development decisions. This chapter provides information about that data collection: what is collected, how it is used, how it is protected, and how users may exercise their rights to control the data collection and usage.
For a complete list of Oracle affiliates and subprocessors, review Doc ID: 2237897.2 for your Retail Cloud Services application.
The information collected by Pendo does not include personally identifiable information (PII) such as name, email address, or other sensitive information, nor does it include information that could be used to identify a user, such as geolocation data. All information is associated with a given user using a token consisting of a one-way hash of the user identifier, and no mapping of users to these tokens is available either to Pendo or to any other external party.When a user connects to a RPASCE application, a set of executable scripts is loaded into the user's browser. The scripts are used by the browser to interact with the RPASCE application. If a user has consented to the collection of data (as described in which is described in "User Control of Collected Data"), then additional scripts will be loaded to allow them to interact with the third-party guided learning and user analytic services provided by Pendo.These scripts make it possible for the guided learning resources hosted by Pendo to be available to the user to assist them in using the RPASCE application. These scripts also collect information about an individual user's actions within the application, both in regards to the guided learning (for example, which lessons are attempted or completed) as well as the functionality of the base RPASCE application (for example, which screens are visited or which operations are being performed).
Non-aggregated information collected by Pendo is accessible only by authorized Oracle employees and only to those with a legitimate business need and only to be used for the intended purpose: to allow Oracle to better understand how users interact with the application in order to improve the application and overall user experience.Additionally, information aggregated across all users of a given customer may be used to provide a set of pre-defined reports to that customer in order to assist in the evaluation of the Cloud Services and the guided learning contained within them.This information is not used for other purposes nor is it disclosed to other parties.Information collected and stored for an individual user is also accessible to that user, which is described in "User Control of Collected Data."
User information collected by Pendo is stored within its systems where it is protected from unauthorized access in compliance with industry best practices and regulatory standards. Information about the protections Pendo provides for user data and privacy can be found here:https://www.pendo.io/support/trust/The data hosted within Pendo's system is stored for a maximum of one-hundred eighty (180) days, at which point it is deleted. Additionally, users may request that all information collected about them be deleted, which is described in "User Control of Collected Data.".
In accordance with Oracle policies for data collection and with international law, including the General Data Protection Regulation (GDPR), users have the right and ability to control how information about their actions is collected and used. These rights are met by three systems accessible to a user when logged into the hosting RPASCE application.Firstly, users will not have information collected about them unless they have explicitly provided consent. This takes the form of an opt-in step users can complete when logged into an RPAS CE application. Users who have opted-in for data collection have the ability to revoke this consent at any time they are logged into the RPASCE application.Secondly, users have the right to request that any information collected about their usage of the system be deleted. This request may be made at any time a user is logged into the RPASCE application. The RPASCE application will process the user request and provide notification when the deletion has been completed by Pendo.Finally, users have the right to request access to any information collected about their usage of the system. This request may be made at any time the user is logged into the RPASCE application. The RPASCE application will process the user request, retrieve that user's information from Pendo, and make it available to the requesting user. Note that the information retrieved from the Pendo service is returned "as is" and is not inspected or manipulated after retrieval. It is retained within Oracle systems only for the duration required to supply it to requesting user.Additional information about how to initiate any of the above actions can be found in the User Guides for the RPASCE applications.