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Build Visualizations of Amazon S3 Data in Birst

Use the CData JDBC Driver for Amazon S3 and the Birst Cloud Agent to build real-time visualizations of Amazon S3 data in Birst.

Birst is a cloud business intelligence (BI) tool and analytics platform that helps organizations quickly understand and optimize complex processes. When paired with the CData JDBC Driver for Amazon S3, you can connect to live Amazon S3 data through the Birst Cloud Agent and build real-time visualizations. In this article, we walk you through, step-by-step, how to connect to Amazon S3 using the Cloud Agent and create dynamic reports in Birst.

With powerful data processing capabilities, the CData JDBC Driver offers unmatched performance for live Amazon S3 data operations in Birst. When you issue complex SQL queries from Birst to Amazon S3, the driver pushes supported SQL operations, like filters and aggregations, directly to Amazon S3 and utilizes the embedded SQL Engine to process unsupported operations client-side (often SQL functions and JOIN operations). With built-in dynamic metadata querying, the JDBC driver enables you to visualize and analyze Amazon S3 data using native Birst data types.

Configure a JDBC Connection to Amazon S3 Data in Birst

Before creating the Birst project, you will need to install the Birst Cloud Agent (in order to work with the installed JDBC Driver). Also, copy the JAR file for the JDBC Driver (and the LIC file, if it exists) to the /drivers/ directory in the installation location for the Cloud Agent.

With the driver and Cloud Agent installed, you are ready to begin.

  1. Create a new project in Birst.
  2. Name the connection (e.g. CDataAmazonS3).
  3. Choose Live Access.
  4. Select an agent.
  5. Set Database Type to Other.
  6. Set SQL Type to MSSQL
  7. Set the Connection string.

    To authorize Amazon S3 requests, provide the credentials for an administrator account or for an IAM user with custom permissions. Set AccessKey to the access key Id. Set SecretKey to the secret access key.

    Note: You can connect as the AWS account administrator, but it is recommended to use IAM user credentials to access AWS services.

    For information on obtaining the credentials and other authentication methods, refer to the Getting Started section of the Help documentation.

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the Amazon S3 JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.amazons3.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

    Below is a typical JDBC connection string for Amazon S3:

    jdbc:amazons3:AccessKey=a123;SecretKey=s123;
  8. Set the Driver Name: cdata.jdbc.amazons3.AmazonS3Driver and click Save.

NOTE: Since authentication to Amazon S3 is managed from the connection string, you can leave Security Credentials blank.

Configure Amazon S3 Data Objects

Now that the connection is configured, we are ready to configure the schema for the dataset, choosing the tables, views, and columns we wish to visualize.

  1. Select the Schema (e.g. AmazonS3).
  2. Click on Tables and/or Views to connect to those entities and click Apply.
  3. Select the Tables and Columns you want to access and click Done.

With the objects configured, you can perform any data preparation and discover any relationships in your data using the Pronto Prepare and Relate tools.

Build a Visualization

After you prepare your data and define relationships between the connected objects, you are ready to build your visualization.

  1. Select the Visualizer tool from the menu.
  2. Select Measures & Categories from your objects
  3. Select and configure the appropriate visualization for the Measure(s) you selected.

Using the CData JDBC Driver for Amazon S3 with the Cloud Agent and Birst, you can easily create robust visualizations and reports on Amazon S3 data. Download a free, 30-day trial and start building Birst visualizations today.