
Over the past year, this developer enhanced the Pentaho big data ecosystem by modernizing plugins, strengthening security, and improving integration across pentaho/big-data-plugin and pentaho-hadoop-shims. They delivered Java 17 compatibility, refactored plugin architectures, and introduced blueprint-based configuration for HDFS, increasing maintainability and deployment readiness. Their work included rigorous dependency management, security patching for libraries like Netty and Zookeeper, and removal of vulnerable components to reduce risk. They improved UI governance, streamlined server startup, and enabled dynamic service loading using Java, Maven, and XML configuration. Their approach emphasized traceability, cross-environment compatibility, and robust unit testing to ensure stable, secure releases.
April 2026: Focused on security hardening and dependency cleanup in pentaho/pentaho-hadoop-shims. Upgraded jackson-core to a non-vulnerable version and removed the redundant parquet-hadoop-bundle dependency in the ApacheVanilla Big Data Plugin, reducing security risk and simplifying maintenance. The change is tracked under PPP-6324 with commit 4d2086cfc7d0a1324abb30b4b5a3c875b3ae3a94. This work improves maintainability, compliance, and the overall security posture of the Hadoop shims, enabling safer deployments and easier future updates.
April 2026: Focused on security hardening and dependency cleanup in pentaho/pentaho-hadoop-shims. Upgraded jackson-core to a non-vulnerable version and removed the redundant parquet-hadoop-bundle dependency in the ApacheVanilla Big Data Plugin, reducing security risk and simplifying maintenance. The change is tracked under PPP-6324 with commit 4d2086cfc7d0a1324abb30b4b5a3c875b3ae3a94. This work improves maintainability, compliance, and the overall security posture of the Hadoop shims, enabling safer deployments and easier future updates.
February 2026 (Month: 2026-02) monthly summary: - What was delivered: Security hardening and Hive/EMR connectivity improvements across the Pentaho Hadoop ecosystem, with targeted library upgrades and dependency refinements to strengthen security, stability, and first-connection reliability for EMR-based workloads. - Key features delivered: - Security hardening: Upgraded core libraries (Hibernate 5.6.15, Xalan 2.7.3) and Ranger integration to address CVEs (CVE2026-0603, CVE-2022-34169, CVE-2022-3510), improving security posture and stability. - Hive/EMR connectivity reliability: Added hive-shims-common, refined dependency management, and introduced hive-llap-common-4.0.1 for EMR770 shim to fix first-connection ServiceLoader errors. - Major bugs fixed: - Fixed Hive connection issues by removing libthrift from the Big Data Plugin assembly descriptor (ApacheVanilla), enhancing plugin compatibility and functionality. - Overall impact and accomplishments: - Reduced security risk and improved operational stability for Hadoop workloads; enhanced compatibility with EMR/Hive environments; improved first-run reliability and build consistency across both repos. - Technologies/skills demonstrated: - Security-focused dependency management, library upgrades, and build stability; ecosystem integration (Hibernate, Xalan, Ranger, Hive shims, EMR compatibility); traceability with Jira/Backlog tickets. Top 3-5 achievements reference: PPP-6184, PPP-6063, PPP-6043, BACKLOG-48636, PDI-20763, AF16b48, Da4ec9f.
February 2026 (Month: 2026-02) monthly summary: - What was delivered: Security hardening and Hive/EMR connectivity improvements across the Pentaho Hadoop ecosystem, with targeted library upgrades and dependency refinements to strengthen security, stability, and first-connection reliability for EMR-based workloads. - Key features delivered: - Security hardening: Upgraded core libraries (Hibernate 5.6.15, Xalan 2.7.3) and Ranger integration to address CVEs (CVE2026-0603, CVE-2022-34169, CVE-2022-3510), improving security posture and stability. - Hive/EMR connectivity reliability: Added hive-shims-common, refined dependency management, and introduced hive-llap-common-4.0.1 for EMR770 shim to fix first-connection ServiceLoader errors. - Major bugs fixed: - Fixed Hive connection issues by removing libthrift from the Big Data Plugin assembly descriptor (ApacheVanilla), enhancing plugin compatibility and functionality. - Overall impact and accomplishments: - Reduced security risk and improved operational stability for Hadoop workloads; enhanced compatibility with EMR/Hive environments; improved first-run reliability and build consistency across both repos. - Technologies/skills demonstrated: - Security-focused dependency management, library upgrades, and build stability; ecosystem integration (Hibernate, Xalan, Ranger, Hive shims, EMR compatibility); traceability with Jira/Backlog tickets. Top 3-5 achievements reference: PPP-6184, PPP-6063, PPP-6043, BACKLOG-48636, PDI-20763, AF16b48, Da4ec9f.
January 2026 focused on security hardening and dependency management for pentaho-hadoop-shims, delivering critical Netty CVE remediation and aligning Parquet dependencies to reduce exposure while improving cross-environment compatibility.
January 2026 focused on security hardening and dependency management for pentaho-hadoop-shims, delivering critical Netty CVE remediation and aligning Parquet dependencies to reduce exposure while improving cross-environment compatibility.
December 2025 monthly summary: Delivered two major feature improvements and one security-focused clean-up across Pentaho repos, driving reliability, cloud data handling, and security posture. Key impacts include preventing accidental data loss during cluster overwrites, improved Google Cloud Storage Parquet IO, and removal of vulnerable Avro dependencies to harden security and simplify maintenance.
December 2025 monthly summary: Delivered two major feature improvements and one security-focused clean-up across Pentaho repos, driving reliability, cloud data handling, and security posture. Key impacts include preventing accidental data loss during cluster overwrites, improved Google Cloud Storage Parquet IO, and removal of vulnerable Avro dependencies to harden security and simplify maintenance.
Concise monthly summary for 2025-11 focusing on stability, reliability, and testability across core Pentaho repositories. The month delivered targeted fixes to server startup reliability and SSH command execution timeout handling, paired with improvements to unit testing coverage to reduce future regressions.
Concise monthly summary for 2025-11 focusing on stability, reliability, and testability across core Pentaho repositories. The month delivered targeted fixes to server startup reliability and SSH command execution timeout handling, paired with improvements to unit testing coverage to reduce future regressions.
October 2025 monthly summary for pentaho-platform focusing on business value and technical achievements. Delivered a configuration simplification by removing the default pentaho-big-data-plugin from the Pentaho Server startup. This reduces startup overhead, minimizes potential conflicts, and simplifies onboarding for new deployments. The change aligns with platform modernization goals and improves first-run reliability.
October 2025 monthly summary for pentaho-platform focusing on business value and technical achievements. Delivered a configuration simplification by removing the default pentaho-big-data-plugin from the Pentaho Server startup. This reduces startup overhead, minimizes potential conflicts, and simplifies onboarding for new deployments. The change aligns with platform modernization goals and improves first-run reliability.
September 2025 monthly summary for pentaho/big-data-plugin. This month focused on decoupling EE dependencies and enabling dynamic EE service loading to improve plugin compatibility and maintainability.
September 2025 monthly summary for pentaho/big-data-plugin. This month focused on decoupling EE dependencies and enabling dynamic EE service loading to improve plugin compatibility and maintainability.
May 2025 monthly work summary for pentaho/big-data-plugin focusing on UI governance for Name Cluster Connections across multiple UIs. Implemented a feature flag in NamedClusterWidgetImpl to restrict editing and creation of Name Cluster Connections in HBase, Pig, HDFS, and legacy VFS UIs, thereby preventing unintended modifications. Delivered across two commits coordinating edits in HBase steps, Pig/HDFS output steps, and old VFS UI. Commits: 774d576e43734bc1a5975593bd9bd65ab458f7a1; ff122b4395c364aa42725313285fc2335f99edf5 (BACKLOG-43864, BACKLOG-44196). This change reduces misconfiguration risk and stabilizes cluster connection governance across the UI surfaces, improving maintainability and user safety.
May 2025 monthly work summary for pentaho/big-data-plugin focusing on UI governance for Name Cluster Connections across multiple UIs. Implemented a feature flag in NamedClusterWidgetImpl to restrict editing and creation of Name Cluster Connections in HBase, Pig, HDFS, and legacy VFS UIs, thereby preventing unintended modifications. Delivered across two commits coordinating edits in HBase steps, Pig/HDFS output steps, and old VFS UI. Commits: 774d576e43734bc1a5975593bd9bd65ab458f7a1; ff122b4395c364aa42725313285fc2335f99edf5 (BACKLOG-43864, BACKLOG-44196). This change reduces misconfiguration risk and stabilizes cluster connection governance across the UI surfaces, improving maintainability and user safety.
April 2025: Library Dependency Stabilization in pentaho/pentaho-hadoop-shims by reverting libthrift to v0.20.0 to restore compatibility, reduce runtime thrift errors, and improve stability for Hadoop integration. The change addresses issues from newer libthrift versions and aligns with backlog item BACKLOG-43891. Commit: 745fb31fcd35c24bfebc49aa4d887dac2a3737b1.
April 2025: Library Dependency Stabilization in pentaho/pentaho-hadoop-shims by reverting libthrift to v0.20.0 to restore compatibility, reduce runtime thrift errors, and improve stability for Hadoop integration. The change addresses issues from newer libthrift versions and aligns with backlog item BACKLOG-43891. Commit: 745fb31fcd35c24bfebc49aa4d887dac2a3737b1.
February 2025 monthly summary for pentaho/pentaho-hadoop-shims: Zookeeper dependency security patch to 3.9.3 implemented across core and Apache shim driver with minimal risk to behavior. The upgrade closes known vulnerabilities without functional changes, validated through explicit change records and traceability.
February 2025 monthly summary for pentaho/pentaho-hadoop-shims: Zookeeper dependency security patch to 3.9.3 implemented across core and Apache shim driver with minimal risk to behavior. The upgrade closes known vulnerabilities without functional changes, validated through explicit change records and traceability.
November 2024 monthly summary for pentaho-hadoop-shims: Implemented security-focused dependency management and CDP71 shim alignment, delivering measurable risk reduction and stable cross-version compatibility for CDP71 deployments. Key changes consolidated dependency updates to remediate airCompressor vulnerability, ensured hive-exec compatibility, and restored libthrift to a compatible version for the cpd71 shim, enabling safer HDI40/EMR700 deployments.
November 2024 monthly summary for pentaho-hadoop-shims: Implemented security-focused dependency management and CDP71 shim alignment, delivering measurable risk reduction and stable cross-version compatibility for CDP71 deployments. Key changes consolidated dependency updates to remediate airCompressor vulnerability, ensured hive-exec compatibility, and restored libthrift to a compatible version for the cpd71 shim, enabling safer HDI40/EMR700 deployments.
June 2024 monthly summary for pentaho/big-data-plugin. Delivered modernization efforts for the HDFS plugin, including Java 17 compatibility, architecture changes, and blueprint-based configuration for a new HDFS plugin for PDI. These changes improve maintainability, plugin integration, and readiness for production deployments.
June 2024 monthly summary for pentaho/big-data-plugin. Delivered modernization efforts for the HDFS plugin, including Java 17 compatibility, architecture changes, and blueprint-based configuration for a new HDFS plugin for PDI. These changes improve maintainability, plugin integration, and readiness for production deployments.

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