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Modern Data Management with Boomi Accelerates Business Outcomes
Executive summary Use case
Introduction
Overview
Starting point
Boomi capabilities used
Data sources and data stores
Users and groups
Exploring data sets
Use case workloads
Schedule a job
RESTful API example
Integrating Boomi DCP with Hadoop Solution architecture Conclusions References

Users and groups

Users and groups


  • For decades, the lack of clear definitions for sensitive data, and the limitations of data analytics platforms, have stifled interest in self-service analytics. Efforts that are leading to an overall reduction in many of the concerns that have been hindering self-service data services include:

    • Defining what constitutes sensitive data like Personally Identifiable Information (PII)
    • Industry guidelines for how to handle access

    The Boomi DCP security model enables collaboration between users with different roles through a hierarchical, centralized permissions assignment structure. This model allows Boomi DCP administrators to create fine grain data access permissions. You can define which users, or classes of users, can see and use which columns of data.

    To see and add users to the system:

    1. Click the Tools > Manage menu.
    2. Click Permissions.
    3. Select Access.

    The Roles screen appears. See Roles.

    Figure 3. Roles
    Roles

    Roles

    Five user roles are available to oversee data access and permissions management, as listed in User roles.

     Table 1.  User roles 
    RoleDescription
    AdministratorThis role has the greatest level of permissions on data, user accounts, and the behavior of the DCP application.
    Data AnalystThis role acquires data from various sources and prepares it for data analysis, such as by creating transform jobs.
    Data StewardThis role is responsible for data governance by administering data in compliance with policy or regulatory obligations. Users with this role see a customized view of the UI to fit their responsibilities.
    Data EngineerThis role is responsible for developing architectures for building data pipelines. Users with this role see a customized view of the UI to fit their responsibilities.
    Data Catalog ManagerThis role is responsible for maintaining the inventory of all data assets in an organization. Users with this role see a customized view of the UI to fit their responsibilities.

    These capabilities of these roles are influenced by the data hierarchy definition within DCP to establish what users can create and what users can access. The levels of data objects that get mapped to security roles are:

    • Data Store
    • Data Sources
    • Data Sets

    Only Administrators can enable and configure adapters.

    See Users for a listing.

    Figure 4. Users
    Users

    Example users

    The example includes five users with varying permissions, as listed in Example users.

     Table 2.  Example users 
    UserDescription
    UnifiThe overall system administrator, with Administrator privileges
    Rest UserA user created for running the RESTful API, with Administrator privileges
    R. SinghA data analyst, with privileges to view
    Director Maxwell s.A data steward
    P. BiddleA data analyst, with privileges to view

    The Access page enables you to step through the various views describing:

    • Roles
    • Users
    • Groups
    • Data Sources
    • Data Sets
    • Columns

    You can set permissions for all the objects; it can be as simple as selecting which users have access to which columns of data.

    Permissions shows that R. Singh does not have privileges to see income.

    Figure 5. Permissions
    Permissions