Technical deep-dives on production AI systems, data architecture, and real-world lessons from building platforms that process billions of events per day.
How to build real-time fraud detection pipelines using Kafka streaming, DBT for pattern detection, and Cube.js for metrics. Production architecture achieving 15% fraud reduction.
Read moreHow to implement a decentralized data architecture, scaling to 10 domains in 8 weeks using domain-driven DBT models and Terraform automation. Real-world lessons from retail.
Read moreHow to reduce BigQuery costs by 30% using advanced partitioning strategies, intelligent clustering, and DBT optimizations. Production-ready cost optimization with measurable ROI.
Read moreHow I built Nestorchat—intelligent e-commerce chatbots for catalog exploration, product recommendations, and automated quote generation. Technical architecture and lessons learned.
Read moreAfter building production AI systems for 10+ years, I have seen the patterns that kill projects. Here is why most AI projects fail and what actually works.
Read moreA deep dive into the architecture of Sales Pilot—a production AI sales coach with real-time voice processing. Technical decisions, production challenges, and lessons learned.
Read moreReal-world lessons from building data platforms that process over 1 billion events per day. Architecture decisions, scaling strategies, and hard-learned production insights.
Read moreHow to implement GDPR-compliant data pipelines with 100% auditability using Terraform policy tags, DBT anonymization, and OpenMetadata catalog. Production-ready compliance in 2 weeks.
Read moreHow to build a scalable real-time analytics platform processing 10M events per day with sub-second latency. A complete architecture walkthrough using Kafka, Airbyte, DBT, and Cube.js.
Read moreHow to migrate from MySQL to BigQuery with only 3 minutes of downtime using Terraform provisioning, Debezium CDC, and DBT transformations. Production migration achieving 25% cost savings with zero data loss.
Read moreHow to implement self-service BI using semantic layers with Cube.js metrics and Looker integrations. Production approach achieving 80% reduction in IT requests.
Read moreHow to implement production-grade anomaly detection. Pattern detection with DBT and Cube.js visualization. Real-world approach achieving 15% improvement in detection accuracy.
Read moreHow to implement hybrid data architectures that combine warehouses and lakes. Complete BigQuery/S3 setup with DBT integrations to achieve 25% storage savings.
Read moreHow to implement cloud-native governance with policy tags and access controls. Terraform IAM and DBT tests for production compliance. Reduce compliance time by 50%.
Read moreHow to implement efficient incremental processing with DBT. SCD Type 2 models and snapshots for historical tracking. Production approach achieving 60% faster refreshes.
Read moreHow to choose between Kafka and Kinesis for production streaming. Platform comparison with Terraform setups and Debezium CDC. Scale to 300M events/day.
Read moreHow to integrate MLOps for seamless data-to-model workflows. Implement DBT for feature engineering and Airflow for orchestration. Production approach achieving 40% faster ML deployment.
Read moreHow to implement comprehensive metadata management using OpenMetadata. Build lineage and catalogs for governance with OpenMetadata configs and DBT/Terraform integrations. Achieve 100% traceability.
Read moreHow to handle late-arriving data in production streaming pipelines. Implement watermarking and windowing with Kafka/Debezium and DBT processing. Achieve 99% data completeness.
Read moreHow to build business-friendly semantic layers. Implement Cube.js schemas and integrations with Looker/Tableau for self-service BI. Production approach achieving 70% faster dashboards.
Read moreHow to shift from ETL to modern ELT. Implement DBT models and Airflow orchestration for in-warehouse processing. Production approach achieving 50% reduction in data load time.
Read moreHow to choose the right storage architecture with hybrid solutions. Implement Terraform for BigQuery/S3, DBT for ELT, and Cube.js for abstraction. Achieve 40% faster queries.
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