Integrate Google Reviews with Azure Data Lake
Don't go through the pain of direct integration. RudderStack’s Google Reviews integration makes it easy to send data from Google Reviews to Azure Data Lake and all of your other cloud tools.Easy Google Reviews to Azure Data Lake integration with RudderStackRudderStack’s open source Google Reviews integration allows you to integrate RudderStack with your Google Reviews to track event data and automatically send it to Azure Data Lake. With the RudderStack Google Reviews 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.Frequently Asked QuestionsAbout Azure Data Lake
Available via webhookAdd Google Reviews as a source in RudderStack by enabling a webhook source in
your RudderStack dashboard, then using our Transformations feature to
re-shape the incoming payload. Once configured, RudderStack will send
data from your Google Reviews source to any destinations you connect. (Note,
you will need to configure outbound webhooks in Google Reviews.)
Popular ways to use Azure Data Lake and RudderStackSimplify implementationAutomatically load Azure Data Lake surveys through the RudderStack SDK.
Easily track user behaviorEasily send existing behavior data to Azure Data Lake.
Easily track pageview dataAutomatically send pageview data to Azure Data Lake.
Can you export data from Google Reviews?
Depending on the format, there are multiple ways to export data from Google Reviews, whether manually, through a native integration or through a data platform like RudderStack.
How do you load data from Google Reviews 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 Google Reviews into Azure Data Lake?
Building your own integration between Google Reviews 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.
