April 2026 monthly summary for Pentaho development: - Replaced legacy Apache driver with the CDP variant in the Big Data Plugin to improve compatibility with newer Hadoop configurations. - Cleaned up plugin dependencies in Hadoop shims and enabled Google Data Proc driver in QAT builds to strengthen testing coverage and cloud deployment readiness. - Cross-repo alignment across big-data-plugin and hadoop-shims to ensure consistent driver usage and reduce maintenance burden.

March 2026 monthly summary focused on Knox-related connectivity fixes and security hardening across two repositories, delivering business value through improved data integration reliability and stability.

February 2026 monthly summary for pentaho-hadoop-shims: Implemented security hardening by excluding vulnerable components from the build and updating Batik and Nimbus JOSE JWT to secure versions. This work addresses CVE-2022-44729 and CVE-2023-52428 across multiple components, reducing supply chain risk. The changes were implemented via three commits across the repo, improving security posture without impacting user-facing functionality.

January 2026 focused on strengthening security and secure connectivity across the Hadoop ecosystem. Key outcomes include remediation of multiple CVEs in pentaho-hadoop-shims by excluding Derby and batik-bridge and updating libraries (commons-io, velocity-engine-core), and adding HTTPS support for Hadoop Cluster Manager in the Big Data Plugin via a TLS-capable, self-signed certificate-friendly HTTP client. These efforts reduce vulnerability exposure, improve compliance posture, and enable reliable, secure cluster operations for customers. Technologies demonstrated include Java, dependency management, TLS/SSL handling, and custom HTTP client development.

December 2025 monthly summary for pentaho/pentaho-hadoop-shims. The team delivered a targeted feature and resolved critical reliability and security issues across the Hadoop shims and Big Data EE build, improving driver compatibility, MapReduce job stability on EMR, and overall security posture.

Concise monthly summary for 2025-11: Delivered reliability and stability improvements across the big-data-plugin and Hadoop shims, focusing on EMR job execution stability, secure URL handling in gateway interactions, and MapReduce submission robustness with improved observability. Cross-repo work contributed to reduced operational risk and clearer logging for faster issue resolution.

2025-10 Monthly Summary: Focused on tightening Hadoop configuration reliability, metadata accuracy, and user experience for Hadoop-related tooling across Pentaho's open-source Hadoop shims and Big Data plugin. Delivered targeted features and bug fixes with strong server integration implications, improving enterprise readiness and operational consistency.

September 2025 monthly summary for pentaho-platform focusing on delivering Hadoop Cluster Management in PDI and enhancing PDI-Pentaho Server integration to manage Hadoop cluster configurations from the UI. No additional features or bug fixes were reported beyond the Hadoop cluster management enhancement.

2025-08 Monthly Summary for Pentaho Big Data Plugin (pentaho/big-data-plugin). Focused on security hardening of Hadoop cluster configuration management, with changes implemented to prevent credential leakage and ensure safe handling of legacy gateway URLs. Delivered bug fixes and security improvements that improve compliance, data protection, and overall reliability of cluster configuration workflows.

July 2025: Delivered two critical driver dependency and packaging improvements for pentaho-pentaho-hadoop-shims, enhancing build reliability, compatibility, and packaging consistency across environments. Dataproc1421 Driver Dependency Cleanup and Compatibility Enhancements consolidated dependencies in the driver pom.xml, updated Netty and Guava versions, removed unused dependencies and exclusions, and aligned configurations to reduce conflicts and downstream issues. Azure Driver Packaging and Dependency Synchronization with Master removed the shim bundle plugin reference from Azure Driver POMs and aligned libraries with master to ensure consistent packaging, reduce packaging failures, and improve reliability for users. These changes reduce friction for downstream usage and demonstrate strong Maven-based dependency management and cross-repo collaboration.

June 2025 focused on improving testability and reliability of Hadoop integration in pentaho-hadoop-shims. Delivered a feature to enable testing of Hadoop clusters via Pentaho Server APIs by introducing a singleton HadoopFileSystemLocator, reducing test setup complexity and increasing integration test determinism. This work supports BACKLOG-44522 and was committed as e972f10a2816674e634a1fb1d64a1d342554447f. No major bugs fixed this month; all changes are feature-focused with clear alignment to the repository's testing workflow and long-term maintainability.

May 2025: Pentaho Big Data Plugin deployment cleanup completed to streamline Pentaho Server deployments. Removed obsolete feature definitions and configurations, validated deployment path for the plugin, and landed a clean, maintainable baseline for future changes. This reduces configuration drift, lowers deployment risk, and improves on-boarding for new contributors.

April 2025 highlights: delivered critical dependency cleanups and stability fixes across two Pentaho repositories, improving build reliability, runtime correctness, and platform compatibility, with explicit validation for CDP/EMR/ApacheVanilla driver usage.

March 2025 (pentaho/pentaho-hadoop-shims) focused on strengthening Hadoop integration through modular refactoring and distribution improvements. Delivered two key features: (1) Hadoop configuration bootstrap refactor with multi-provider support, including extraction of bootstrap code from 8.3.0.0 to feature/no-osgi to improve modularity and future extensibility; (2) packaging format update changing driver distribution from kar to zip to simplify deployment and improve compatibility. No major bugs fixed this month. Impact: increased modularity and extensibility for future providers, smoother deployments for Hadoop-based environments, and measurable improvements in distribution usability. Technologies/skills: Java refactoring, modular architecture, multi-provider design, packaging tooling, and backlog-driven traceability (BACKLOG-43495, BACKLOG-43468).

December 2024: Delivery-focused month with a key architectural relocation to improve modularity and maintenance in the Pentaho ecosystem. No major bugs fixed this cycle. Highlights: relocation of legacy EMR/Hive executors to plugin directory; alignment with backlog [BACKLOG-43062]; repository: pentaho/big-data-plugin.

November 2024: Delivered UX improvements and bug fixes for Hadoop Cluster Import Wizard in pentaho/big-data-plugin, driving smoother onboarding, fewer errors, and faster cluster provisioning. Key changes unified dialog titles across Import Cluster and Add Driver, added input validation for cluster names, and enabled Cancel/Finish actions on the Test Results page; alongside a per-page title fix to ensure consistent wizard headings. These changes reduce support toil and improve user productivity in cluster import workflows.

October 2024 performance focused on modernization of the Big Data platform within pentaho/big-data-plugin. Delivered a major transition of Big Data steps from OSGi to a non-OSGi architecture, accompanied by dependency upgrades and cleanup of legacy references to improve compatibility, stability, and future upgrade paths. The work was rebased against master to align with the latest baseline (10.X), reducing integration risk and ensuring smoother downstream collaboration. Overall, this enhances maintainability, accelerates onboarding for future changes, and supports easier deployment in modern environments.

July 2024 monthly summary for pentaho/big-data-plugin: Architectural migration of key UI components from OSGi to a standalone Kettle plugin architecture, consolidating Hive/Impala DB connection UI and Named Cluster UI. Ported essential services out of OSGi to enable standalone execution and streamline integration. Focused on modularity, maintainability, and user experience to reduce deployment complexity and accelerate releases.

June 2024: Delivered significant UI modernization for the big-data-plugin by migrating HBase UI, EMR Job Executor UI, Pig Script Executor UI, and Spark Submit UI from OSGi to a kettle classic plugin, and restored missing OSGi blueprint.xml files to fix plugin configuration and integration. These changes improve modularity, maintainability, and integration with Pentaho Data Integration, reducing deployment risk and enabling smoother future updates. Key outcomes include consolidated UI logic, fewer runtime configuration issues, and strengthened support for Hadoop, HBase, Pig, and Spark ecosystems.

April 2023 monthly summary focusing on the migration of the Pentaho Big Data Plugin architecture from OSGi-based to a classic architecture, and related maintainability improvements.