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Create Redshift Dashboards in Bold BI

Use CData Connect Cloud to create a virtual MySQL Database for Redshift 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 Cloud, you get instant, cloud-to-cloud access to Redshift data for visualizations, dashboards, and more. This article shows how to create a virtual database for Redshift and build reports from Redshift data in Bold BI.

CData Connect Cloud provides a pure MySQL, cloud-to-cloud interface for Redshift, allowing you to easily build reports from live Redshift 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 Cloud pushes all supported SQL operations (filters, JOINs, etc) directly to Redshift, leveraging server-side processing to quickly return the requested Redshift data.

Create a Virtual MySQL Database for Redshift Data

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

  1. Login to Connect Cloud and click Databases.
  2. Select "Redshift" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Redshift.

    To connect to Redshift, set the following:

    • Server: Set this to the host name or IP address of the cluster hosting the Database you want to connect to.
    • Port: Set this to the port of the cluster.
    • Database: Set this to the name of the database. Or, leave this blank to use the default database of the authenticated user.
    • User: Set this to the username you want to use to authenticate to the Server.
    • Password: Set this to the password you want to use to authenticate to the Server.

    You can obtain the Server and Port values in the AWS Management Console:

    1. Open the Amazon Redshift console (http://console.aws.amazon.com/redshift).
    2. On the Clusters page, click the name of the cluster.
    3. On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed.
  4. Click Test Database.
  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 Redshift data from Bold BI.

Visualize Live Redshift Data in Bold BI

The steps below outline connecting to CData Connect Cloud from Bold BI to create a new Redshift 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 MySQL connector.
  2. Choose the basic configuration and set the connection properties:
    • Name: Name your connection
    • Server name: Your Connect Cloud instance (myinstance.cdatacloud.net)
    • Port: 3306
    • Username: Your Connect Cloud username
    • Password: Your Connect Cloud password
    • Mode: Choose Live to query Redshift on-demand or choose Extract to load the data into Bold BI
    • Database: Choose the database you created from the drop-down menu (redshiftdb)
  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 Redshift Data from Cloud Applications

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

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