Change feeds in data lakes

Important

This content is archived and is not being updated. For the latest documentation, go to What's new or changed in Finance and Operations apps home page. For the latest release plans, go to Dynamics 365 and Microsoft Power Platform release plans.

Important

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Enabled for Public preview General availability
Users by admins, makers, or analysts Apr 30, 2021 Mar 2022

Business value

Data lakes are changing the way customers store and work with data. Data lakes are ideal for storing large amounts of data at a fraction of the cost of storing them in a relational database. You can bring large amounts of historical data, as well as data from other systems to your data lake. Data can be transformed into summaries, as well as combined with other data on-demand.

When working with large data volumes and by applying changes to the data that changed only since last run, you can save a lot of compute costs as well as time to process.

For example, you can apply changes to financial summary data every few minutes, as opposed to reprocessing the entire financial summary at day's end or on a monthly basis. This way, you not only save on compute costs, but also enable near-real-time financial reporting.

Feature details

A change feed is an immutable (never modified) transaction log of all data changes in Finance and Operations apps. Change feed data, available in customers' data lakes, provides a chronological log of all data changes within Finance and Operations apps.

Using the change feed, customers can identify changes to data (inserts, updates, as well as deletes) at a transaction-level detail. They can build data pipelines that react near real-time to changes in Finance and Operations data.

A change feed, once written to a data lake, is never modified or deleted. Customers can use the change feed to audit data changes within Finance and Operations apps as well.

See also

Change data in Azure Data Lake (docs)