Process & Analyze Twilio Data in Databricks (AWS)

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Twilio JDBC Driver

Complete read-write access to Twilio enables developers to search (Accounts, Applications, Messages, Recordings, etc.), update items, edit customers, and more, from any Java/J2EE application.



Host the CData JDBC Driver for Twilio in AWS and use Databricks to perform data engineering and data science on live Twilio data.

Databricks is a cloud-based service that provides data processing capabilities through Apache Spark. When paired with the CData JDBC Driver, customers can use Databricks to perform data engineering and data science on live Twilio data. This article walks through hosting the CData JDBC Driver in AWS, as well as connecting to and processing live Twilio data in Databricks.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Twilio data. When you issue complex SQL queries to Twilio, the driver pushes supported SQL operations, like filters and aggregations, directly to Twilio and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Twilio data using native data types.

Install the CData JDBC Driver in Databricks

To work with live Twilio data in Databricks, install the driver on your Databricks cluster.

  1. Navigate to your Databricks administration screen and select the target cluster.
  2. On the Libraries tab, click "Install New."
  3. Select "Upload" as the Library Source and "Jar" as the Library Type.
  4. Upload the JDBC JAR file (cdata.jdbc.twilio.jar) from the installation location (typically C:\Program Files\CData\CData JDBC Driver for Twilio\lib).

Access Twilio Data in your Notebook: Python

With the JAR file installed, we are ready to work with live Twilio data in Databricks. Start by creating a new notebook in your workspace. Name the notebook, select Python as the language (though Scala is available as well), and choose the cluster where you installed the JDBC driver. When the notebook launches, we can configure the connection, query Twilio, and create a basic report.

Configure the Connection to Twilio

Connect to Twilio by referencing the JDBC Driver class and constructing a connection string to use in the JDBC URL.

Step 1: Connection Information

driver = "cdata.jdbc.twilio.TwilioDriver"
url = "jdbc:twilio:AccountSid=MyAccountSid;AuthToken=MyAuthToken;"

Built-in Connection String Designer

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

java -jar cdata.jdbc.twilio.jar

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

Use the AccountSid and AuthToken connection properties to access data from your account. You obtain your live credentials on your Twilio account dashboard. Click Account -> Account Settings to obtain your test credentials.

Load Twilio Data

Once you configure the connection, you can load Twilio data as a dataframe using the CData JDBC Driver and the connection information.

Step 2: Reading the data

remote_table = spark.read.format ( "jdbc" ) \
	.option ( "driver" , driver) \
	.option ( "url" , url) \
	.option ( "dbtable" , "Calls") \
	.load ()

Display Twilio Data

Check the loaded Twilio data by calling the display function.

Step 3: Checking the result

display (remote_table.select ("To"))

Analyze Twilio Data in Databricks

If you want to process data with Databricks SparkSQL, register the loaded data as a Temp View.

Step 4: Create a view or table

remote_table.createOrReplaceTempView ( "SAMPLE_VIEW" )

With the Temp View created, you can use SparkSQL to retrieve the Twilio data for reporting, visualization, and analysis.

% sql

SELECT To, Duration FROM SAMPLE_VIEW ORDER BY Duration DESC LIMIT 5

The data from Twilio is only available in the target notebook. If you want to use it with other users, save it as a table.

remote_table.write.format ( "parquet" ) .saveAsTable ( "SAMPLE_TABLE" )

Download a free, 30-day trial of the CData JDBC Driver for Twilio and start working with your live Twilio data in Databricks. Reach out to our Support Team if you have any questions.