This update covers new offerings, features, and functionality changes delivered in January. 

Three Key Highlights

• Data Control Tower now allows you to view all global masking algorithms.

• Data Control Tower now provides at-a-glance trendlines of engine performance.

• Migrating from a Continuous Data Engine to an Elastic Data Engine is now faster.

Data Control Tower (DCT)

• Algorithm Centralization: We plan to centralize orchestration and control in Data Control Tower. To enable better visibility into compliance, masking algorithms across all connected Continuous Compliance Engines can now be centrally viewed in DCT.
  
  

• Expanded Source Linking: Over the past few years, we have introduced Staging Push to allow users to bring their data to Continuous Data. The DCT UI now supports linking for Oracle and SQL Server using Staging Push. Further, we’ve expanded standard linking to SAP ASE, PostgreSQL, Db2, MySQL, HANA, and MongoDB. 

• Hyperscale Compliance UI Enhancements: Several improvements have been added, including enabling the management of Continuous Compliance Engine assignments for Hyperscale Jobs.

• DCT Toolkit Enhancements: Based on customer feedback, several improvements have been made to our fully supported CLI for DCT.  Of note, dct-toolkit allows users to provide engine names as values for 'id' options.

• Continuous Data Jobs Progress: Users can track job progress in real-time through the Operations UI. 
  

  

• Improved Replication Visibility: Replication is used for data movement, disaster recovery protection, Sensitive Data Distribution, and more, which requires setting up relationships between Continuous Data Engines. To provide better visibility on these relationships, we have added them to Data Control Tower. To further simplify this user experience, the target Continuous Data Engine and dataset are now linked together.

• Engine Performance Trendlines: Historical trendlines have been added to the recently introduced engine performance reports. 

  

Continuous Compliance

• Character Replacement Algorithm Framework: This framework allows for creating rules to replace specific characters in a string with other characters. For example, you can use this framework to remove inconsistent punctuation in data to maintain referential integrity across data sources.

Continuous Data

• Documentation Updates: We have made broad improvements across multiple areas of our documentation, including the Delphix Glossary, Datasets’ Getting Started, and PostgreSQL.

• UI for Object Storage Connectivity Modification: We have implemented several enhancements to simplify the modification of object storage configuration. Specifically, the following can be modified: key rotation for security (key-based authentication), endpoint URL, region, and the ability to change between key-based and profile-based authentication.

• Improved Elastic Data Migration: Leveraging Elastic Data with Continuous Data provides significant cost savings by leveraging object storage and block storage. We have decreased the time to execute migrating an engine from a standard Continuous Data Engine to an Elastic Data Engine without the need for replication.

• TDE support for Hardware Security Module (HSM) solutions: Managing Oracle TDE (Transparent Data Encryption) across multiple Oracle environments can be challenging. TDE management solutions have been introduced to solve this challenge and are growing in popularity. Delphix can now connect to and leverage tools like Oracle Key Vault (OKV) and CipherTrust to perform all operations within TDE environments managed by any of these tools.

• SAP HANA: HANA SPS 06 and SPS 07 are now supported on the SUSE Operating Systems.

• MongoDB: MongoDB is now supported on the RHEL 9.0 Operating System.

Compliance Services for Salesforce

• Sorted Masking: Presorting tables helps to prevent row locking when dealing with large data volumes.

• Independent Metadata Management: Provides the option to disable and re-enable metadata outside of a masking job. This can improve performance as metadata can now be disabled once before masking starts and re-enabled only once after all masking jobs are complete.

January Product Version Releases 

This section includes all the software products shipped in January and their release dates. All of these are available now on the Delphix download site:

End of Life and Deprecations

Docker Compose: Docker Compose will be deprecated as a supported container platform for Data Control Tower and Hyperscale Compliance. The January 2024 releases for both products start a 12-month depreciation period for all supported versions on Docker Compose. All prior and current product versions will continue to be supported on Docker Compose until January 2025. For more information, please see the deprecation notice posted in the community.

#19.0.0.0 #2024_19 #productannouncement #Product_Announcement
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Michael Torok
Digital Customer Experience, Senior Director
Delphix
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