Data streaming is a new software category to process data in motion. Apache Kafka is the de facto standard used…
The concepts and architectures of a data warehouse, a data lake, and data streaming are complementary to solving business problems.…
The concepts and architectures of a data warehouse, a data lake, and data streaming are complementary to solving business problems.…
This blog post explores why software vendors (try to) introduce new solutions for Reverse ETL, when Reverse ETL is really…
This blog series explores use cases and architectures for Apache Kafka in the cybersecurity space, including situational awareness, threat intelligence,…
Real-time beats slow data in most use cases across industries. The rise of event-driven architectures and data in motion powered…
Apache Kafka became the de facto standard for event streaming. Various vendors added Kafka and related tooling to their offerings…
Introducing new features in Confluent Platform 5.4 and Apache Kafka 2.4... I just want to share a presentation I did…
Can and should Apache Kafka replace a database? How long can and should I store data in Kafka? How can…
The combination of streaming machine learning (ML), Apache Kafka and Confluent Tiered Storage enables you to build one scalable, reliable,…