ETL Monday.com in Oracle Data Integrator

Leverage existing skills by using the JDBC standard to connect to Monday.com: Through drop-in integration into ETL tools like Oracle Data Integrator (ODI), the CData JDBC Driver for Monday.com connects real-time Monday.com data to your data warehouse, business intelligence, and Big Data technologies.

JDBC connectivity enables you to work with Monday.com just as you would any other database in ODI. As with an RDBMS, you can use the driver to connect directly to the Monday.com APIs in real time instead of working with flat files.

This article walks through a JDBC-based ETL -- Monday.com to Oracle. After reverse engineering a data model of Monday.com entities, you will create a mapping and select a data loading strategy -- since the driver supports SQL-92, this last step can easily be accomplished by selecting the built-in SQL to SQL Loading Knowledge Module.

Install the Driver

To install the driver, copy the driver JAR (cdata.jdbc.monday.jar) and .lic file (cdata.jdbc.monday.lic), located in the installation folder, into the ODI appropriate directory:

• UNIX/Linux without Agent: ~/.odi/oracledi/userlib
• UNIX/Linux with Agent: ~/.odi/oracledi/userlib and $ODI_HOME/odi/agent/lib
• Windows without Agent: %APPDATA%\Roaming\odi\oracledi\userlib
• Windows with Agent: %APPDATA%\odi\oracledi\userlib and %APPDATA%\odi\agent\lib

Restart ODI to complete the installation.

Reverse Engineer a Model

Reverse engineering the model retrieves metadata about the driver's relational view of Monday.com data. After reverse engineering, you can query real-time Monday.com data and create mappings based on Monday.com tables.

1. In ODI, connect to your repository and click New -> Model and Topology Objects.
2. On the Model screen of the resulting dialog, enter the following information:
   • Name: Enter Monday.
   • Technology: Select Generic SQL (for ODI Version 12.2+, select Microsoft SQL Server).
   • Logical Schema: Enter Monday.
   • Context: Select Global.
3. On the Data Server screen of the resulting dialog, enter the following information:
   • Name: Enter Monday.
   • Driver List: Select Oracle JDBC Driver.
   • Driver: Enter cdata.jdbc.monday.MondayDriver
   • URL: Enter the JDBC URL containing the connection string.

     You can connect to Monday.com using either API Token authentication or OAuth authentication.

     Connecting with an API Token

     Connect to Monday.com by specifying the APIToken. Set the AuthScheme to Token and obtain the APIToken as follows:

     • API tokens for admin users
       1. Log in to your Monday.com account and click on your avatar in the bottom left corner.
       2. Select Admin.
       3. Select "API" on the left side of the Admin page.
       4. Click the "Copy" button to copy the user's API token.
     • API tokens for non-admin users
       1. Click on your profile picture in the bottom left of your screen.
       2. Select "Developers"
       3. Click "Developer" and then "My Access Tokens" at the top.
       4. Select "Show" next to the API token, where you'll be able to copy it.

     Connecting with OAuth Authentication

     Alternatively, you can establish a connection using OAuth (refer to the OAuth 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 Monday.com JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

     java -jar cdata.jdbc.monday.jar

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

     Below is a typical connection string:

     jdbc:monday:APIToken=eyJhbGciOiJIUzI1NiJ9.yJ0aWQiOjE0MTc4NzIxMiwidWlkIjoyNzI3ODM3OSwiaWFkIjoiMjAyMi0wMS0yMFQxMDo0NjoxMy45NDFaIiwicGV;
4. On the Physical Schema screen, enter the following information:
   • Name: Select from the Drop Down menu.
   • Database (Catalog): Enter CData.
   • Owner (Schema): If you select a Schema for Monday.com, enter the Schema selected, otherwise enter Monday.
   • Database (Work Catalog): Enter CData.
   • Owner (Work Schema): If you select a Schema for Monday.com, enter the Schema selected, otherwise enter Monday.
5. In the opened model click Reverse Engineer to retrieve the metadata for Monday.com tables.

Edit and Save Monday.com Data

After reverse engineering you can now work with Monday.com data in ODI. To view Monday.com data, expand the Models accordion in the Designer navigator, right-click a table, and click View data.

Create an ETL Project

Follow the steps below to create an ETL from Monday.com. You will load Invoices entities into the sample data warehouse included in the ODI Getting Started VM.

1. Open SQL Developer and connect to your Oracle database. Right-click the node for your database in the Connections pane and click new SQL Worksheet.

   Alternatively you can use SQLPlus. From a command prompt enter the following:

   sqlplus / as sysdba
2. Enter the following query to create a new target table in the sample data warehouse, which is in the ODI_DEMO schema. The following query defines a few columns that match the Invoices table in Monday.com: CREATE TABLE ODI_DEMO.TRG_INVOICES (DUEDATE NUMBER(20,0),Id VARCHAR2(255));
3. In ODI expand the Models accordion in the Designer navigator and double-click the Sales Administration node in the ODI_DEMO folder. The model is opened in the Model Editor.
4. Click Reverse Engineer. The TRG_INVOICES table is added to the model.
5. Right-click the Mappings node in your project and click New Mapping. Enter a name for the mapping and clear the Create Empty Dataset option. The Mapping Editor is displayed.
6. Drag the TRG_INVOICES table from the Sales Administration model onto the mapping.
7. Drag the Invoices table from the Monday.com model onto the mapping.
8. Click the source connector point and drag to the target connector point. The Attribute Matching dialog is displayed. For this example, use the default options. The target expressions are then displayed in the properties for the target columns.
9. Open the Physical tab of the Mapping Editor and click INVOICES_AP in TARGET_GROUP.
10. In the INVOICES_AP properties, select LKM SQL to SQL (Built-In) on the Loading Knowledge Module tab.

You can then run the mapping to load Monday.com data into Oracle.