Why Change Data Capture is Essential to Implement Event-driven Architectures
Change Data Capture makes your data stores and existing databases first-class citizens in an event-driven architecture
Cloud Services for Event-Driven Architectures (EDAs)
The combination of Apache Kafka and Kubernetes helps developers create EDAs and real-time data pipelines that stream and integrate data between
The Critical Role Streaming Plays in a Data Stack
Why Apache Pulsar is the right choice for multi-datacenter, geo-distributed
Why Managed Event Capabilities are so Useful for Flexibility and Agility
Managed event services can help companies make faster and more efficient use of events and speed the adoption of event-driven architectures.
Achieve (and Maintain) Real-Time Apache Kafka Optimization
By carefully managing cluster and topic-level configurations, a continually optimized Apache Kafka deployment is there for the
Confluent Premium Connector Integrates Oracle and Kafka
The Confluent Premium Connector captures changes in Oracle databases to modernize data warehouses and facilitate data synchronization and real-time
Real-Time Analytics with Apache Kafka
Businesses that seek to be real-time enterprises increasingly are turning to Apache Kafka to support data streaming and deliver significant value.
How Microservices Developers in Financial Services Use Streaming
Using a microservices-based architecture offers the flexibility to add new data sources and use new analysis engines without rewriting entire
Gaining Continuous Intelligence from Apache Kafka Event Streams (White Paper)
Continuous streams of events from “always on” infrastructure, applications and “things” hold the clues modern, data-driven organizations need to …
Event-Driven Applications with Red Hat AMQ Streams (eBook)
Event-streaming technologies are essential for building and maintaining real-time links with internal partners, business partners, suppliers, and
