Databases
Sales & Support Analytics

How to load data from Zendesk Chat to Apache Doris

Learn how to use Airbyte to synchronize your Zendesk Chat data into Apache Doris within minutes.

TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up Zendesk Chat as a source connector (using Auth, or usually an API key)
  2. set up Apache Doris as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Zendesk Chat

A software developed to optimize communication for small businesses and enterprises worldwide, Zendesk Chat is a live chat application that enables businesses to establish a more personal touch in their customer support. Designed to work on iPhone and iPad as well as computers, Zen Chat provides the ability to monitor, manage, and engage with website visitors from any location; sends notifications when visitors are on a website; features shortcuts to reduce typing time and improve agents’ response time; and more.

What is Apache Doris

Apache Doris Connector​ is a high-performance, easy-to-use, and real-time analytical database Graduates from Apache Incubator which based on MPP architecture, well known for its extreme speed and ease of use. Apache Doris could support high-concurrent point query scenarios. Apache Doris can provide sub-second queries and efficient real-time data analysis. At present, Apache Doris has grown into a star open source project in the field of big data, with nearly 300 open source users

Integrate Zendesk Chat with Apache Doris in minutes

Try for free now

Prerequisites

  1. A Zendesk Chat account to transfer your customer data automatically from.
  2. A Apache Doris account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Zendesk Chat and Apache Doris, for seamless data migration.

When using Airbyte to move data from Zendesk Chat to Apache Doris, it extracts data from Zendesk Chat using the source connector, converts it into a format Apache Doris can ingest using the provided schema, and then loads it into Apache Doris via the destination connector. This allows businesses to leverage their Zendesk Chat data for advanced analytics and insights within Apache Doris, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Zendesk Chat as a source connector

1. First, navigate to the Zendesk Chat source connector page on Airbyte.com.
2. Click on the "Add Source" button to begin the process of adding your Zendesk Chat credentials.
3. In the "Connection Configuration" section, enter your Zendesk Chat account subdomain and API token.
4. Click on the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your Zendesk Chat account.
5. Once the test is successful, click on the "Save & Continue" button to proceed to the next step.
6. In the "Schema Selection" section, select the data you want to replicate from Zendesk Chat.
7. Click on the "Save & Continue" button to proceed to the final step.
8. In the "Destination Configuration" section, select the destination where you want to replicate your Zendesk Chat data.
9. Click on the "Create Connection" button to complete the process of connecting your Zendesk Chat source connector on Airbyte.com.
10. Your Zendesk Chat data will now be replicated to your chosen destination.

Step 2: Set up Apache Doris as a destination connector

1. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Click on the "Apache Iceberg" destination connector and select "Create new connection."
3. Enter a name for your connection and provide the necessary credentials for your Apache Iceberg database, including the host, port, database name, username, and password.
4. Test the connection to ensure that it is successful.
5. Select the tables or data sources that you want to replicate to your Apache Iceberg database.
6. Configure any additional settings or options for your connection, such as the frequency of data replication or any transformations that you want to apply to your data.
7. Save your connection and start the replication process.
8. Monitor the progress of your data replication and troubleshoot any issues that may arise.
9. Once the replication process is complete, verify that your data has been successfully replicated to your Apache Iceberg database.
10. Use your Apache Iceberg database to analyze and query your data as needed.

Step 3: Set up a connection to sync your Zendesk Chat data to Apache Doris

Once you've successfully connected Zendesk Chat as a data source and Apache Doris as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select Zendesk Chat from the dropdown list of your configured sources.
  3. Select your destination: Choose Apache Doris from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific Zendesk Chat objects you want to import data from towards Apache Doris. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Zendesk Chat to Apache Doris according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Apache Doris data warehouse is always up-to-date with your Zendesk Chat data.

Use Cases to transfer your Zendesk Chat data to Apache Doris

Integrating data from Zendesk Chat to Apache Doris provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Apache Doris’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Zendesk Chat data, extracting insights that wouldn't be possible within Zendesk Chat alone.
  2. Data Consolidation: If you're using multiple other sources along with Zendesk Chat, syncing to Apache Doris allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: Zendesk Chat has limits on historical data. Syncing data to Apache Doris allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Apache Doris provides robust data security features. Syncing Zendesk Chat data to Apache Doris ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Apache Doris can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Zendesk Chat data.
  6. Data Science and Machine Learning: By having Zendesk Chat data in Apache Doris, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Zendesk Chat provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Apache Doris, providing more advanced business intelligence options. If you have a Zendesk Chat table that needs to be converted to a Apache Doris table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Zendesk Chat account as an Airbyte data source connector.
  2. Configure Apache Doris as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Zendesk Chat to Apache Doris after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Should you build or buy your data pipelines?

Download our free guide and discover the best approach for your needs, whether it's building your ELT solution in-house or opting for Airbyte Open Source or Airbyte Cloud.

Download now

Frequently Asked Questions

What data can you extract from Zendesk Chat?

Zendesk Chat's API provides access to a wide range of data related to customer interactions and support activities. The following are the categories of data that can be accessed through the API:  

1. Chat data: This includes information about chat sessions, such as chat duration, chat transcripts, and chat ratings.  
2. Agent data: This includes information about agents, such as their availability status, chat history, and performance metrics.  
3. Visitor data: This includes information about visitors, such as their location, browser type, and chat history.  
4. Ticket data: This includes information about support tickets, such as ticket status, priority, and tags.  
5. Analytics data: This includes information about chat and support activity, such as chat volume, response times, and customer satisfaction scores.  
6. Custom data: This includes any custom data that has been added to the Zendesk Chat platform, such as custom fields or tags.  

Overall, the Zendesk Chat API provides a comprehensive set of data that can be used to analyze and improve customer support operations.

What data can you transfer to Apache Doris?

You can transfer a wide variety of data to Apache Doris. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

What are top ETL tools to transfer data from Zendesk Chat to Apache Doris?

The most prominent ETL tools to transfer data from Zendesk Chat to Apache Doris include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • Talend Data Integration

These tools help in extracting data from Zendesk Chat and various sources (APIs, databases, and more), transforming it efficiently, and loading it into Apache Doris and other databases, data warehouses and data lakes, enhancing data management capabilities.