July 2025 focused on stabilizing the library loading for native Spark steps in the pentaho/big-data-plugin, delivering a standardized approach to library references and ensuring correct loading order across multiple Spark steps. This work reduces runtime classpath issues and improves deployment reliability across Spark-based pipelines.

February 2025 monthly summary for pentaho/pentaho-hadoop-shims: Delivered a targeted bug fix to ensure Sqoop compatibility by resolving a ClassNotFoundException in HadoopShim.java, enabling reliable cross-platform data transfer workflows.

January 2025 monthly summary for pentaho/pentaho-hadoop-shims focusing on security hardening and dependency stabilization to reduce risk and improve CDP deployment reliability. Key features delivered: - Security hardening across Hadoop shims (PPP-5541): removed unused htrace imports and upgraded jackson-databind in htrace-core-3.1.0-incubating.jar across cdpdc71 and emr700. Commits included: 85337ac9e8d7588edfe9fbda032ee878e6902acd; ae620b3d4651b4d301459b262f60d62ef3540d1c; ca1744c287d17e4e899ba2914f4ecde1a41cec02. - CDP driver runtime dependency fix: ensured CDP driver includes correct JARs, resolving missing dependencies and runtime errors. Commit: 09a9223006967e2f5abffe4fd92407fa49388215. Major bugs fixed: - Mitigated vulnerable jackson-databind in the htrace-core-3.1.0-incubating.jar as part of PPP-5541. - Resolved missing runtime dependencies in the CDP driver, preventing deployment-time failures. Overall impact and accomplishments: - Improved security posture by addressing known vulnerabilities in Hadoop shims, reducing exposure in production CDP environments. - Increased stability and reliability of CDP deployments through correct dependency management and artifact inclusion, lowering deployment risk and maintenance effort. - Delivered cross-shim consistency to support safer, faster CDP-based rollouts. Technologies/skills demonstrated: - Java dependency management, patching and artifact upgrades (htrace, jackson-databind). - Build hygiene and cross-component coordination across multiple shims (cdpdc71 and emr700). - Security remediation practices and release-readiness for production environments.

Month 2024-11 — Pentaho Hadoop Shims: Security patching focus with minimal disruption. Delivered a security patch to mitigate WildFly OpenSSL vulnerability by updating the wildfly-openssl component; no functional changes. The change was reviewed, tested, and merged with alignment to security advisories, reducing exposure for downstream deployments while preserving compatibility across the Hadoop shim suite.