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URL: https://www.cdata.com/kb/tech/presto-cloud-mode.rst

⇱ Create Data Visualizations Based On Presto Data in Mode


Create Data Visualizations Based On Presto Data in Mode

πŸ‘ Dibyendu Datta
Dibyendu Datta
Lead Technology Evangelist
Use CData Connect AI to connect to Presto Data from Mode and build visualizations using live Presto data.

Mode is a collaborative data platform that combines SQL, R, Python, and visual analytics in one place. When paired with CData Connect AI, you get instant, cloud-to-cloud access to Presto data for use in data visualizations. This article shows how to connect to Presto in Connect AI, connect to Presto data in Mode, and create a simple visualization using that data.

CData Connect AI provides a pure cloud-to-cloud interface for Presto, allowing you to build data visualizations from live Presto data in Mode β€” without replicating the data to a natively supported database. In order to create visualizations, users write SQL queries to gather data. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Presto, leveraging server-side processing to quickly return the requested 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 Mode

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. πŸ‘ Adding a Connection
  3. Select "Presto" from the Add Connection panel
  4. πŸ‘ Selecting a data source
  5. 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.
    πŸ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Presto Connection page and update the User-based permissions. πŸ‘ 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.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. πŸ‘ Creating a new PAT
  4. 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 Mode.

Connect to Presto in Mode

The steps below outline connecting to CData Connect AI from Mode to create a new Presto data source.

  1. Log-in to Mode πŸ‘ Logging In
  2. In the top-left corner of the screen, click the down-arrow next to your name and select Connect a Database... πŸ‘ Selecting Connect to Database
  3. On the next screen, select Microsoft SQL Server. πŸ‘ Selecting Microsoft SQL Server
  4. Enter the Microsoft SQL Server credentials:
    • Display Name: the name for the connection.
    • Host/Port: enter tds.cdata.com in the Host field and 14333 in the Port field.
    • Database name: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, Presto1).
    • Username: 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: enter the PAT you generated on the Settings page
    Leave the rest of the connection settings at their default values unless you need to modify them. πŸ‘ Configuring connection settings
  5. At the bottom of the page, click Connect to ensure that you can connect to CData Connect AI.
  6. Upon success, the following screen appears. πŸ‘ New database connection added.

Your connection is now available for use in Mode. To connect to additional data sources from your CData Connect AI account, repeat the setup steps above, changing the value for Database for each data source.

Creating A Mode Visualization

To create a visualization in Mode, follow these steps:

  1. On the current screen, click New Report. The SQL query text editor appears. Enter the following query:
    			SELECT * FROM [Presto].[Customer];
    		
    Click Run. The app now shows the query result: πŸ‘ Showing SQL query result.
  2. Running the query activates the New Chart tab. Click this tab and select Pie Chart. πŸ‘ Selecting pie chart.
  3. Now, drop a dimension in the Color section and a measure in the Angle section. πŸ‘ Creating visualization.

    We have now created a visualization of Presto data in Mode using CData Connect AI!

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