Import Presto Data Using Azure Data Factory

Dibyendu Datta
Lead Technology Evangelist

Use CData Connect AI to connect to Presto Data from Azure Data Factory and import live Presto data.

Microsoft Azure Data Factory (ADF) is a completely managed, serverless data integration service. When combined with CData Connect AI, ADF enables immediate cloud-to-cloud access to Presto data within data flows. This article outlines the process of connecting to Presto through Connect AI and accessing Presto data within ADF.

CData Connect AI offers a cloud-to-cloud interface tailored for Presto, granting you the ability to access live data from Presto data within Azure Data Factory without the need for data replication to a natively supported database. Equipped with optimized data processing capabilities by default, CData Connect AI seamlessly channels all supported SQL operations, including filters and JOINs, directly to Presto. This harnesses server-side processing to expedite the retrieval of the desired Presto data.

About Presto Data Integration

Accessing and integrating live data from Trino and Presto SQL engines has never been easier with CData. Customers rely on CData connectivity to:

Access data from Trino v345 and above (formerly PrestoSQL) and Presto v0.242 and above (formerly PrestoDB)
Read and write access all of the data underlying your Trino or Presto instances
Optimized query generation for maximum throughput.

Presto and Trino allow users to access a variety of underlying data sources through a single endpoint. When paired with CData connectivity, users get pure, SQL-92 access to their instances, allowing them to integrate business data with a data warehouse or easily access live data directly from their preferred tools, like Power BI and Tableau.

In many cases, CData's live connectivity surpasses the native import functionality available in tools. One customer was unable to effectively use Power BI due to the size of the datasets needed for reporting. When the company implemented the CData Power BI Connector for Presto they were able to generate reports in real-time using the DirectQuery connection mode.

Getting Started

Configure Presto Connectivity for ADF

Connectivity to Presto from Azure Data Factory is made possible through CData Connect AI. To work with Presto data from Azure Data Factory, we start by creating and configuring a Presto connection.

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

Log into Connect AI, click Sources, and then click Add Connection

👁 Adding a Connection

Select "Presto" from the Add Connection panel

👁 Selecting a data source

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.
👁 Configuring a connection (Salesforce is shown)
Click Save & Test
Navigate to the Permissions tab in the Add Presto Connection page and update the User-based permissions. 👁 Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
On the Settings page, go to the Access Tokens section and click Create PAT.
Give the PAT a name and click Create. 👁 Creating a new PAT
The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Presto data from Azure Data Factory.

Access Live Presto Data in Azure Data Factory

To establish a connection from Azure Data Factory to the CData Connect AI Virtual SQL Server API, follow these steps.

👁 Logging in to ADF

If you have not yet created a Data Factory, Click New -> Dataset.

👁 Creating new data factory

In the search bar, enter SQL Server and select it when it appears. On the following screen, enter a name for the server. In the Linked service field, select New.

👁 Selecting SQL Server

Enter the connection settings.
- Name - enter a name of your choice.
- Server name - enter the Virtual SQL Server endpoint and port separated by a comma: tds.cdata.com,14333
- Database name - enter the Connection Name of the CData Connect AI data source you want to connect to (for example, Presto1).
- User Name - enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
- Password - select Password (not Azure Key Vault) and enter the PAT you generated on the Settings page.
- Click Create.

👁 Configuring new linked service

In Set properties, set the Name, choose the Linked service we just created, select a Table name from those available, and Import schema from connection/store. Click OK.