The Confluent Premium Connector captures changes in Oracle databases to modernize data warehouses and facilitate data synchronization and real-time
Businesses that seek to be real-time enterprises increasingly are turning to Apache Kafka to support data streaming and deliver significant value.
Using a microservices-based architecture offers the flexibility to add new data sources and use new analysis engines without rewriting entire
Continuous streams of events from “always on” infrastructure, applications and “things” hold the clues modern, data-driven organizations need to …
Event-streaming technologies are essential for building and maintaining real-time links with internal partners, business partners, suppliers, and
While real-time analytics is clearly on the rise, no one should expect the need for batch-oriented data warehouses to decline any time soon.
Industry pioneer embraces open framework for feeding big R-T data into AI models and apps.
As Apache Kafka-driven projects become more complex, Hortonworks aims to simplify it with its new Streams Messaging Manager
With IoT, AI and machine learning initiatives, the need for an enterprise to establish a data lake is critical. What are the important issues to
MapR's new features are designed for building powerful, real-time streaming and global IoT