Mastering MLflow: Managing the Full Machine Learning Lifecycle
Learn how to manage the machine learning lifecycle with MLOps. Follow a fintech team’s journey to build, deploy, and monitor a fraud detection model, ensuring scalability and GDPR compliance.
You Can’t Trust COUNT and SUM: Scalable Data Validation with Merkle Trees
A Merkle Tree is a scalable, SQL-friendly approach to verifying data integrity — widely used in systems like Git, blockchains, and distributed databases.
The Modern Data Platform: Foundation for Scalable Business Intelligence
Discover how a modern data platform unifies data, boosts business intelligence, and drives decisions with real-world fintech and ecommerce examples.
What Data Engineers Really Do: It’s Not Pipelines — It’s Guarantees, Contracts, and Cost-Aware Systems
Modern data engineering isn’t about building pipelines — it’s about building trust, reliability, and cost-aware systems. This article reframes the role and explains what experienced engineers actually do.
Introduction to MLOps: Managing the Machine Learning Lifecycle
Learn how to manage the machine learning lifecycle with MLOps. Follow a fintech team’s journey to build, deploy, and monitor a fraud detection model, ensuring scalability and GDPR compliance.