Integrate Zendesk Chat with Azure Data Lake
Don't go through the pain of direct integration. RudderStack’s Zendesk Chat integration makes it easy to send data from Zendesk Chat to Azure Data Lake and all of your other cloud tools.Easy Zendesk Chat to Azure Data Lake integration with RudderStackRudderStack’s open source Zendesk Chat integration allows you to integrate RudderStack with your Zendesk Chat to track event data and automatically send it to Azure Data Lake. With the RudderStack Zendesk Chat integration, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.Popular ways to use Azure Data Lake and RudderStackFrequently Asked QuestionsAbout Azure Data Lake
Query customer support dataImport analytics-ready customer support data into your warehouse. Select the data points you need and sync with the click of a button.
Perform deep support ticket analysisRun analytics and ML on your raw support ticket data to gain a better understanding of sentiment and outcomes.
Improve support trainingBuild richer, data-driven training programs for your sales reps based on actual ticketing and response data.
Can you export data from Zendesk Chat?
Depending on the format, there are multiple ways to export data from Zendesk Chat, whether manually, through a native integration or through a data platform like RudderStack.
How do you load data from Zendesk Chat into Azure Data Lake?
There are two primary ways: First, you could write your own code script to pull the data and load it via API. Second, you could use an ETL integration provider like RudderStack to load the data automatically.
How much does it cost to load data from Zendesk Chat into Azure Data Lake?
Building your own integration between Zendesk Chat and Azure Data Lake costs engineering time, while ETL providers like RudderStack generally charge by the number of rows loaded.
Microsoft Azure Data Lake is a secure and scalable data lake that lets you store data of varying sizes and complexity. It also allows you to write your own code to perform operational or transactional data transformation and analysis tasks.
