Confluent Platform 7.0: Data Streaming Across Multiclouds
The challenge is clear: How to offer real- or near real-time access to data that is continually refreshed across a number of different distributed environments. With different types of data streaming from various sources such as multicloud and on-premises environments, the data, often in shared digital layers such as so-called digital information hubs (DIHs), must be updated asynchronously. This is necessary in order to maintain a consistent user experience. To that end, data streaming platform provider Apache Kafka, hundreds of different applications and data systems can use it to migrate to the cloud or share data between their data center and the public cloud, Confluent says. Traditionally, syncing data between multiple clouds or between on-premises and the cloud was “like a bad game of telephone,”
