Real Time Data Drift Pipeline for Data Science Teams
Hands-on Data Science guide to implement a production real-time data drift pipeline with Kafka. Stream feature aggregation, compute incremental PSI/KS/ADWIN and ML detectors, export…
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Low-Latency Feature Store with Redis Streams in Production
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,…
Event Driven BI Pipelines with dbt and Kafka for Analytics
A hands-on Business Analytics guide to Kafka ingestion, dbt incremental models, schema evolution, SQL metrics consistency, and monitoring for event driven BI.
Automated Data Quality Checks for BI Metrics at Scale
Practical guide to automate data quality checks for BI metrics using SQL and Python, integrate into Airflow or cron, configure alerted thresholds, and enforce…
Calculus Guide: Autodiff vs Numerical Differentiation
Practical Calculus comparison for MLOps engineers: autodiff versus numerical differentiation, stability, performance, Hessian techniques, and production patterns in PyTorch, JAX, and NumPy.
Cost Effective Model Monitoring with Prometheus and MLflow
Practical, code first guide to cost effective model monitoring using Prometheus and MLflow: choose metrics, instrument exporters, set SLOs, and optimize retention.