Implementing fine-grained permissions for streaming platforms, from Kafka ACLs to enterprise RBAC patterns.

Building data pipelines that power AI agents with real-time context, from architecture patterns to governance requirements.

Learn how to build comprehensive visibility into AI models, pipelines, and data flows across your enterprise for effective governance and operations.

Learn about Amazon Managed Streaming for Apache Kafka (MSK), a fully managed service that simplifies running Apache Kafka on AWS. Understand its architecture, key features, operational benefits, and how it fits into modern data streaming platforms.

Apache Iceberg is an open table format that brings database-like reliability and transactional guarantees to massive datasets stored in cloud object stores. It has become a foundational layer for data lakehouse architectures.

Apache Kafka has become the backbone of real-time data systems. It powers everything from payment tracking to fraud detection to application logs. This article explains what Kafka is, how event streaming works, and why it matters for modern data architectures.

Explore essential API gateway patterns for modern data platforms, including routing, protocol translation, and security. Learn how gateways enable unified access to streaming systems like Kafka while enforcing governance and performance controls.

Learn how audit logging works in streaming platforms like Apache Kafka, why it's essential for compliance and security, and best practices for implementing comprehensive audit trails in distributed streaming environments.

Learn how to implement automated data quality testing in your data engineering workflows, with practical examples covering batch and streaming scenarios, validation frameworks, and integration with streaming platforms.