# Automating Real-Time Data Pipelines using CData JDBC Drivers

**URL:** <https://community.cdata.com/t/automating-real-time-data-pipelines-using-cdata-jdbc-drivers/1075>\
**Category:** Editions\
**Tags:** automation, article, driver, jdbc\
**Created:** [April 17, 2025, 7:26pm UTC](https://community.cdata.com/t/automating-real-time-data-pipelines-using-cdata-jdbc-drivers/1075 "2025-04-17T19:26:49Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![Manikandan\_Palanisamy](https://avatars.discourse-cdn.com/v4/letter/m/439d5e/32.png) [@Manikandan\_Palanisamy](https://community.cdata.com/u/Manikandan_Palanisamy)\
**Post date:** [April 17, 2025, 7:26pm UTC](https://community.cdata.com/t/automating-real-time-data-pipelines-using-cdata-jdbc-drivers/1075/1 "2025-04-17T19:26:49Z")

</div>

Data integration and automation have become crucial for businesses that rely on seamless data flows between different platforms. In this article, we’ll walk you through building and automating a **real-time data pipeline** to transfer work items from **Azure DevOps** to **SharePoint** , using **CData JDBC drivers** , **Java** , and automation tools such as **Windows Task Scheduler, Cron Jobs,** and **Jenkins**. This approach helps ensure your data is always up to date, without the need for manual intervention.

**Why Automate Data Pipelines?**

Before we jump into the technical setup, let’s first understand why automating data pipelines is so important:

- **Real-time Data Availability:** Automation ensures that your data is transferred and synchronized in real-time across platforms.

- **Reduced Human Error:** By eliminating manual processes, the chances of errors are minimized.

- **Efficiency and Time Savings** : With automation in place, you can free up valuable time and resources for more strategic tasks.

- **Scalability:** As your business grows, automated pipelines can handle an increasing amount of data with minimal changes to the workflow.

Let’s get started with the setup!

**Step 1: Setting Up CData JDBC Drivers**

The first step in the process is to set up the **CData JDBC Drivers**. These drivers make it simple to connect to and interact with various data sources like **Azure DevOps** and **SharePoint**.

**1.1 Download CData JDBC Drivers**

1. **Go to CData’s Website:** Navigate to the [CData website](https://www.cdata.com/) and download the appropriate JDBC drivers for **Azure DevOps** and **SharePoint**.

2. **Install the Drivers:** Follow the installation instructions provided by CData to install the drivers on your machine.

**Step 2: Write the Java Code for Data Transfer**

Now that the drivers are set up, let’s write the **Java code** that will connect to **Azure DevOps** , fetch data (work items), and then insert that data into **SharePoint**.

**2.1 Prepare the Java Environment**

1. Ensure that you have **Java** installed on your system. You can download the latest version of Java from various suppliers, such as [Adoptium’s Eclipse Temurin](https://adoptium.net/temurin/releases/).

2. Set up your **Java project** using an IDE like **IntelliJ IDEA** or **Eclipse**.

3. Add the **CData JDBC driver** JAR files to your project’s classpath. In IntelliJ IDEA, this can be done by navigating to **File \> Project Structure \> Libraries \> + \> Java** and selecting the downloaded JAR files for Azure DevOps and SharePoint.

**2.2 Java Code Example**

Here’s a more detailed example of the Java code that connects to **Azure DevOps** , fetches work items, and then inserts the data into **SharePoint**.

**Explanation** :

- We connect to **Azure DevOps** and **SharePoint** using JDBC.

- We fetch work items from Azure DevOps that are in specific states.

- We insert the work items into a **SharePoint List.**

**2.3 Compile and Package the Java Code**

Once your code is ready, the next step is to **compile** it and generate an executable **JAR file.**

1. **Build the Artifact:** In **IntelliJ IDEA** , go to **File \> Project Structure \> Artifacts \> + \> JAR \> From modules with dependencies.** Choose the DataPipeline class as the main class.

2. **Build the JAR:** Go to **Build \> Build Artifacts \> Build** to compile and package your project into a JAR file. The artifact will be located under the out/artifacts directory in your project.

import java.sql.\*;&nbsp;  
public class Main {&nbsp;  
&nbsp;&nbsp;&nbsp; public static void main(String[] args) {&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; _// Define JDBC connection URLs for Azure DevOps and SharePoint_&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; String azureDevOpsUrl = “\<your azuredevops connection string\>”;&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; String sharePointUrl = “\<your SharePoint connection string\>”;&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; try (&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; _// Connect to Azure DevOps_&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Connection azureDevOpsConnection = DriverManager.getConnection(azureDevOpsUrl);&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; _// Connect to SharePoint_&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Connection sharePointConnection = DriverManager.getConnection(sharePointUrl)&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ) {&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; String azureQuery = “SELECT [Id], [Title], [State], [AssignedToDisplayName] FROM Project\_testcdata.Project.WorkItems WHERE [State] IN (‘Proposed’, ‘Design’)”;&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; try (Statement stmt = azureDevOpsConnection.createStatement();&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ResultSet rs = stmt.executeQuery(azureQuery)) {&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; while (rs.next()) {&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; int workItemId = rs.getInt(“Id”);&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; String title = rs.getString(“Title”);&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; String state = rs.getString(“State”);&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; String assignedToDisplayName = rs.getString(“AssignedToDisplayName”);&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; _// Check if the WorkItemId already exists in SharePoint_&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; String checkQuery = “SELECT COUNT(\*) FROM manidevopslist WHERE WorkItemId = ?”;&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; try (PreparedStatement checkStmt = sharePointConnection.prepareStatement(checkQuery)) {&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; checkStmt.setInt(1, workItemId);&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; try (ResultSet checkRs = checkStmt.executeQuery()) {&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; checkRs.next();&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; int count = checkRs.getInt(1);&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; _// If WorkItemId doesn’t exist, insert it into SharePoint_&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; if (count == 0) {&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; String insertQuery = “INSERT INTO manidevopslist (Title, WorkItemId, State, AssignedToDisplayName) VALUES (?, ?, ?, ?)”;&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; try (PreparedStatement pstmt = sharePointConnection.prepareStatement(insertQuery)) {&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; pstmt.setString(1, title);&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; pstmt.setInt(2, workItemId);&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; pstmt.setString(3, state);&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; pstmt.setString(4, assignedToDisplayName);&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; pstmt.executeUpdate();&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; }&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; }&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; }&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; }&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; }&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; }&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; } catch (SQLException e) {&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; e.printStackTrace();&nbsp;  
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; }&nbsp;  
&nbsp;&nbsp;&nbsp; }&nbsp;  
}

**Step 3: Automate the Data Pipeline**

Now that we have our **JAR file** , we can automate its execution. There are multiple ways to do this, depending on your environment:

**3.1 Automate with Windows Task Scheduler**

For **Windows** , you can use the **Task Scheduler** to schedule your JAR file to run at specific intervals.

**Steps:**

1. **Open Task Scheduler:** Press Windows + R, type taskschd.msc, and press **Enter** to open the Task Scheduler.

2. **Create a New Task:** Click **Create Task** on the right-hand side.

3. **Set Triggers:** Under the **Triggers** tab, click **New** to set the schedule for the task. For example, you can set it to run **daily** at 9 AM.

4. **Set Actions:** Under the **Actions** tab, click **New** , then:

- **Program/script** : Enter cmd.exe.

- **Arguments:** Type the following: &nbsp;  
_/c “java -jar C:\path\to\DevopstoSharepoint.jar”_

1. **Save the Task:** Click **OK** to save the task. The scheduled task will now run according to the trigger you’ve set.

 ![70e2836d-1a41-47f4-8d1d-40f5089c7b0d.png](https://us1.discourse-cdn.com/cdata/original/1X/0da314321c3a2401c0bf72bb46b81cef5c15d197.png)

**3.2 Automate with Cron Jobs (Linux/macOS)**

For **Linux** or **macOS** , you can automate the execution with **Cron Jobs.**

**Steps:**

1. **Open the Crontab Editor:** In your terminal, type: crontab -e

2. **Add a Cron Job:** Add the following line to schedule your task. For example, to run the JAR file daily at 9 AM: &nbsp;  
_0 9 \* \* \* /usr/bin/java -jar /path/to/DevopstoSharepoint.jar_

3. **Save and Exit:** Save the file and exit the editor. The cron job will now run at the specified time.

**3.3 Automate with Jenkins**

If you’re using **Jenkins** for CI/CD, you can easily set up an automated job to execute your JAR file.

**Steps:**

1. **Create a New Job in Jenkins:** Open Jenkins and click **New Item \> Freestyle Project.**

2. **Configure the Build Step:** In the **Build** section, select **Execute Shell** (for Linux) or **Execute Windows batch command** (for Windows).

- For **Windows** , use: &nbsp;  
_java -jar C:\path\to\DevopstoSharepoint.jar_

- For **Linux** , use: &nbsp;  
_/usr/bin/java -jar /path/to/DevopstoSharepoint.jar_

1. **Schedule the Job** : In the **Build Triggers** section, select the schedule for the job (e.g., run every day at 9 AM).

2. **Save the Job:** Click **Save** , and Jenkins will automatically run the pipeline based on the schedule.

 ![8bbc3875-0d78-44a4-9ab0-107b425ec8ba.png](https://us1.discourse-cdn.com/cdata/original/2X/0/0fecde1705d162ef64c5b2ddd57cf5ca040d1a72.png)

**Step 4: Monitor and Maintain the Pipeline**

**4.1 Logs and Notifications**

For ongoing operations, you may want to set up logging and notification systems to ensure that the pipeline runs smoothly:

- **Logging** : You can configure logging in Java to track errors and exceptions in the pipeline execution.

- **Notifications** : Tools like **Jenkins** can send notifications via email or Slack in case of job failures.

**4.2 Error Handling and Debugging**

Ensure that your pipeline is resilient to common issues like connection timeouts or data discrepancies. Implement try-catch blocks in your Java code to handle exceptions gracefully.

**Conclusion**

In this article, we demonstrated how to automate a real-time data pipeline using **CData JDBC Drivers** , **Java** , and automation tools such as **Windows Task Scheduler, Cron Jobs** , and **Jenkins**. This solution enables seamless integration between **Azure DevOps** and **SharePoint** , ensuring that data is consistently transferred and up-to-date without the need for manual intervention.

By leveraging **CData JDBC Drivers** , we simplified the connection and interaction with both Azure DevOps and SharePoint. Additionally, automation through Task Schedulers and CI/CD tools ensures that the data pipeline runs reliably on a scheduled basis, improving operational efficiency, reducing the risk of errors, and allowing teams to focus on more strategic tasks.

Implementing this solution not only streamlines data workflows but also provides scalability as your integration needs grow. Whether you’re working in a Windows, Linux, or cloud-based environment, the flexibility of this approach ensures that your data integration remains robust and future-proof.

This end-to-end automation process is crucial for organizations looking to enhance their data operations, improve collaboration, and maintain a real-time flow of information across critical platforms.