The Era of Zero-ETL Federation: Fueling AI Agents with Real-Time Cross-Enterprise Data
Explores zero-ETL federation as a real-time data access method for AI agents, replacing batch ETL to enable live cross-enterprise analytics.
Explores zero-ETL federation as a real-time data access method for AI agents, replacing batch ETL to enable live cross-enterprise analytics.
A developer overcomes 'possibility blindness' by building a custom analytics platform to replace Google Analytics and Chartbeat in under 20 minutes.
Argues that 'Stream vs. Batch' is a misleading dichotomy; the real distinction is between 'Push vs. Pull' semantics in data processing.
A former Debezium lead argues that Change Data Capture (CDC) is a feature within larger data platforms, not a standalone product.
A former Debezium lead argues that Change Data Capture (CDC) is a feature within larger data platforms, not a standalone product.
Explores seven practical use cases for Change Data Capture (CDC) in data engineering, including analytics, caches, and microservices.
Explores seven practical use cases for Change Data Capture (CDC) in data engineering, including analytics, caches, and microservices.
A guide on integrating WebSockets with React Query to handle live data and real-time updates in a React application.
Learn how to handle backpressure in real-time data systems with strategies like buffering, scaling, and prioritization.
Explains replay and reprocessing in Microsoft Fabric RTI, covering event persistence, Delta Lake time travel, and use cases like debugging and audits.