This latest version of the Acceldata Open Source Data Platform introduces new features, enhancements, bug fixes, and CVE fixes designed to further improve your data observability experience.
Key Highlights
The ODP 3.2.3.5-3 for Python 3 release includes the following key highlights:
- JDK11 Certification across the 3.2.3 release line, enabling Java 11 upgrades without changing the ODP release line.
- Hardened Security through standardized password encryption in Ambari using the native credential store helper, improving consistency and maintainability of authentication and secret management.
- Enhanced S3 Integration with Hive and Hadoop enhancements to support extended S3 delegation token features.
- Advanced Orchestration via Airflow enhancements introducing Redis integration and support for multi-node deployments.
- Multi-Engine Flexibility by introducing support for multiple Spark 3 and Livy 3 minor versions to coexist on the same ODP environment.
- Technical Preview: Ranger extension for AWS-S3.
Enhancements
Platform Improvements: This release introduces enhancements and optimizations that boost the platform's functionality and user experience, enhancing your data management capabilities. For more information, see Enhancements.
Resolved Issues
Bug and CVE Fixes: Acceldata's commitment to a seamless data observability experience includes promptly addressing reported issues and CVEs. This release resolves multiple bugs and addresses CVEs, ensuring a more stable and reliable platform. For more information, see Bug Fixes and Fixed CVEs.
New Features
Discover the innovative features in this release with upgraded Apache components and platform modernization for enhanced performance, efficiency, and compatibility. For details, see New Features.