4 posts
How we built an end-to-end pipeline using Spark and H2O Sparkling Water to get machine learning models from source control into production with minimal friction.
A practical approach to building an organisational machine learning pipeline that supports multiple tools, PMML-based model deployment, CI/CD practices, and A/B testing.
A practical troubleshooting guide for common Hive and Sqoop job failures on YARN, covering memory tuning, CPU allocation, and where to find the right logs.
Personal views on the Open Data Platform (ODP) announcement and what it means for Hadoop users, BI vendors, and the major distribution companies.