PrivaceraCloud 4.3

Last updated: 2022-03-24

Version#

PrivaceraCloud Release 4.3.0.1

Note

Databricks Runtime version 10.4 LTS is considered a preview for this release.

PolicySync connectors' coverage has been improved for PostgreSQL, Snowflake, Azure SQL Database, PowerBI, Google BigQuery (Preview), and Redshift.
Preview: Fine Grained Access Control (FGAC) has been certified in Databricks Runtime versions 10.4 LTS.
Ranger audits can now be stored or transferred to a customer's storage account (Amazon S3).
FGAC/OLAC is supported in EMR version 6.5.0 on Spark, Trino, and Hive.
Add the spark.databricks.isv.product privacera property to the Spark configuration in each Databricks Cluster UI that is running:

Restart each cluster to obtain this property.

Note

If this property is not configured, the cluster won't be able to execute any commands that have the Privacera Plug-in installed.

The cluster will start up successfully even without this property; the problem will be visible when you try to run any commands through the Privacera Spark Plug-in.

Preview: Data owner personas can perform a Data Discovery scan of data domains, shared datasets, and projects.
The audit search filter in admin audits has been improved to support multiple search parameters with multiple fields.
The term "Data Stewards" has been replaced with "Data Co-owners."
In the Edit dialog of a user or group, the Attributes tab is added.
Single Sign-On (SSO) URL is introduced to enable direct login into PrivaceraCloud via SSO.
RedShift and Azure SQL Database are now available as a data source to PrivaceraCloud Discovery.

Discovery Tag-sync synchronizes the Discovery or classification tags with Apache Ranger.
JSON format is supported in Apache Parquet files as structured data for Discovery scans.

For documentation updates in this release, see the Privacera Documentation Change Log.

See the updated Product Support Policy for information regarding a new preview mode in PrivaceraCloud.

Last update: April 11, 2022