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CData Connect Server

Create Presto Dashboards in Bold BI



Use CData Connect Server to create a virtual SQL Server Database for Presto data to build custom dashboards in Bold BI.

Bold BI allows you to create, share, and collaborate on interactive BI dashboards. When paired with CData Connect Server, you get instant access to Presto data for visualizations, dashboards, and more. This article shows how to create a virtual database for Presto and build reports from Presto data in Bold BI.

CData Connect Server provides a pure SQL Server interface for Presto, allowing you to easily build reports from live Presto data in Bold BI — without replicating the data to a natively supported database. As you build visualizations, Bold BI generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to Presto, leveraging server-side processing to quickly return the requested Presto data.

Create a Virtual SQL Server Database for Presto Data

CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Login to Connect Server and click Connections.
  2. Select "Presto" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Presto.

    Set the Server and Port connection properties to connect, in addition to any authentication properties that may be required.

    To enable TLS/SSL, set UseSSL to true.

    Authenticating with LDAP

    In order to authenticate with LDAP, set the following connection properties:

    • AuthScheme: Set this to LDAP.
    • User: The username being authenticated with in LDAP.
    • Password: The password associated with the User you are authenticating against LDAP with.

    Authenticating with Kerberos

    In order to authenticate with KERBEROS, set the following connection properties:

    • AuthScheme: Set this to KERBEROS.
    • KerberosKDC: The Kerberos Key Distribution Center (KDC) service used to authenticate the user.
    • KerberosRealm: The Kerberos Realm used to authenticate the user with.
    • KerberosSPN: The Service Principal Name for the Kerberos Domain Controller.
    • KerberosKeytabFile: The Keytab file containing your pairs of Kerberos principals and encrypted keys.
    • User: The user who is authenticating to Kerberos.
    • Password: The password used to authenticate to Kerberos.
  4. Click Save Changes
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Presto data from Bold BI.

Visualize Live Presto Data in Bold BI

The steps below outline connecting to CData Connect Server from Bold BI to create a new Presto data source and build a simple visualization from the data.

  1. Log into your Bold BI instance, click the data sources tab, create a new data source, and choose the SQL Server connector.
  2. Choose the basic configuration and set the connection properties:
    • Name: Name your connection
    • Server name: Your Connect Server instance (CONNECT_SERVER_URL)
    • Port: 1433
    • Username: Your Connect Server username
    • Password: Your Connect Server password
    • Mode: Choose Live to query Presto on-demand or choose Extract to load the data into Bold BI
    • Database: Choose the database you created from the drop-down menu (prestodb)
  3. Click Connect
  4. Select the table to visualize and drag it onto the workspace.
  5. Select a visualization style and add it to the report.
  6. Click the gear icon for the visualization to configure the visualization properties and assign columns to the visualization.

SQL Access to Presto Data from Applications

Now you have a direct connection to live Presto data from your Bold BI workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating Presto data.

To get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your applications, see the CData Connect page.