Azure Blob Storage helps you create data lakes for your analytics needs, and provides storage to build powerful cloud-native and mobile apps. Optimize costs with tiered storage for your long-term data, and flexibly scale up for high-performance computing and machine learning workloads.
Hightouch lets you pull data from CSV and JSON files stored in Azure Blob Storage and push them to downstream destinations. To get started, you need an Azure Blob Storage account and container.
See the guide for configuring Azure credentials to learn how you can set up a service account and use its credentials. The IAM user whose credentials you use must have programmatic access enabled and permission to read from the Blob Storage path you want to use.
When setting up Azure Blob Storage as a source for the first time, Hightouch validates your Azure credentials and access to your Blob Storage. Once the test passes, click Continue to finish setup.
Once your source configuration has passed the necessary validation, your source setup is complete. Next, you can set up models to define which data you want to pull from your Blob Storage. The file must have either a .csv or .json extension.
Select the Azure Blob Storage source you previously created.
Enter the relative path to the CSV or JSON file that you want to sync data from.
Preview your model's query results.
Click Continue.
Name your model and select its primary key. Hightouch uses the primary key to determine which rows have been added, changed, or removed since the last sync.
To date, our customers haven't experienced any errors while using this source. If you run into any issues, please don't hesitate to . We're here to help.
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