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On Tuesday, June 25, 2019, we began releasing a new version of Analytics for Apigee Edge for Public
Cloud.

> [!NOTE]
> **Note:** **Private Cloud customers** : Is this cloud release included in your Private Cloud version? See your version's release notes to see which cloud releases it contains. Also, see [About release
> numbering](https://docs.apigee.com/release/apigee-edge-release-process) to understand how you can figure it out by comparing release numbers.
>
> **Questions or issues?** Contact [Apigee Edge Support](https://docs.apigee.com/api-platform/troubleshoot/support)
>
> **Release notifications** : See [Get Apigee Edge release notifications](https://docs.apigee.com/release/get-release-notifications).
>
> [Release notes home page](https://docs.apigee.com/release/notes/apigee-release-notes)

## New features and updates

The following are the new features and updates in this release.

### Public release of asynchronous custom analytics reports

Until now, you could only run analytics custom reports *synchronously*. For a synchronous report,
you run the report request and the request is blocked until the analytics server provides a response.
However, because a report might need to process a large amount of data (for example, 100's of GB),
a synchronous report might fail because of a time out.

This release adds support for running custom reports *asynchronously*.
For an asynchronous report, you issue a report request and retrieve
the results at a later time. Some situations when asynchronous query processing might be a good
alternative include:

- Analyzing and creating reports that span large time intervals.
- Analyzing data with a variety of grouping dimensions and other constraints that add complexity to the query.
- Managing queries when you find that data volumes have increased significantly for some users or organizations.

You can run a custom report asynchronously from the [Edge UI](https://docs.apigee.com/api-platform/analytics/create-custom-reports#run)
or by using the [Edge API](https://docs.apigee.com/api-platform/analytics/asynch-reports-api).
You can also run a Monetization report asynchronously, as described in
[Manage reports](https://docs.apigee.com/api-platform/monetization/create-reports).

### Public release of analytics data export

Apigee Analytics collects and analyzes a broad spectrum of data that flows across your APIs
and provides visualization tools, including interactive dashboards, custom reports,
and other tools that identify trends in API proxy performance.

Now, you can export this analytics data from Apigee Analytics to your own data repository,
such as Google Cloud Storage or BigQuery. You can then take advantage of the powerful query
and machine learning capabilities offered by Google Cloud BigQuery and TensorFlow to perform
your own data analysis.

> [!NOTE]
> **Note:**You are limited to 50 data exports per rolling 30-day window. That limit corresponds to making 50 POST API calls to intitiate a data export.

For more, see [Export data from Analytics](https://docs.apigee.com/api-platform/analytics/export-data).