Hands-on programming guide to build a low-latency feature store with Redis Streams and RedisJSON: ingestion patterns, real-time lookups, versioning, cluster scaling, consistency strategies, monitoring,…
A hands-on Business Analytics guide to Kafka ingestion, dbt incremental models, schema evolution, SQL metrics consistency, and monitoring for event driven BI.
Practical guide to automate data quality checks for BI metrics using SQL and Python, integrate into Airflow or cron, configure alerted thresholds, and enforce…
Practical guide to incremental randomized SVD for large scale PCA in Linear Algebra, with Python implementation, tradeoffs, and benchmarking tips.
Practical Calculus comparison for MLOps engineers: autodiff versus numerical differentiation, stability, performance, Hessian techniques, and production patterns in PyTorch, JAX, and NumPy.
Practical, code first guide to cost effective model monitoring using Prometheus and MLflow: choose metrics, instrument exporters, set SLOs, and optimize retention.
