Analytics Data Feed overview
Data feeds are a powerful way to get raw data out of ÃÛ¶¹ÊÓƵ Analytics. This raw data can be used in other platforms outside of ÃÛ¶¹ÊÓƵ to use at your organization’s discretion. Data is delivered in hourly batches at the conclusion of each hour, or in daily batches at the conclusion of each day.
Prerequisites
Make sure that you meet all the following requirements before using data feeds.
- A working implementation that sends data to ÃÛ¶¹ÊÓƵ data collection servers. See Validate and publish an implementation in the Implementation guide.
- Your account is an Analytics product admin, or your account belongs to a product profile with access to data feeds.
- A bucket configured on Amazon S3, Google Cloud Platform, Azure RBAC, or Azure SAS.
- (Legacy: Required only for legacy FTP and SFTP destination types) Have an FTP site and credentials handy (FTP credentials provided by your organization.)
Next steps
The following resources help you understand the basic workflow of obtaining data feeds. After you understand the basic workflow, you can work with teams within your organization to store or ingest raw data into a database.
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Data feed best practices: Best practices for creating and managing data feeds.
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Create a data feed: Technical details for creating a data feed, explaining individual fields in more detail
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Manage data feeds: Learn more about navigating the data feed interface
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Data feed contents: Understand what is inside the compressed file
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Data column definitions: A comprehensive list of all available columns.
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Video navigating the data feed interface:
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Video on how to find your data feed ID:
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