Data Contracts: Stopping Microservices from Breaking Your Warehouse
Software engineers change database schemas; Data engineers cry. Learn how Data Contracts enforce an agreement between producers and consumers.
Knowledge Hub
Industry insights, technical deep dives, and expert perspectives on Data, Cloud, and AI.
- · MLOps
Building Robust CI/CD Pipelines for Machine Learning
Bringing DevOps to Data Science. We explain how to automate training, testing, and deployment of ML models using GitHub Actions and Kubeflow.
Breaking Down Data Silos: A Modern Data Mesh Approach
Move beyond the centralised monolith. We discuss how Data Mesh decentralises data ownership to scale analytics in large enterprises.
Demystifying BigQuery Slots: Flat Rate vs On-Demand
BigQuery pricing can be confusing. We explain what a 'Slot' actually is and how to choose between paying per query or paying for capacity.
Fixing Imbalanced Datasets with Generative AI
Fraud is rare. That makes it hard to train models to detect it. We show how to use GenAI to synthesize 'rare class' examples and balance your training set.
From Chatbots to Agents: Building AI That Takes Action
Chatbots talk. Agents do. We explain the architecture of Agentic AI, tool use, and the loop of 'Thought, Action, Observation'.
