Streaming data, also called event stream processing, is usually discussed in the context of big data. It is data that is generated continuously, often by thousands of data sources, such as sensors ...

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Confluent, Inc., the event streaming platform pioneer, today announced ksqlDB, an event streaming database that seeks to unify the multiple systems involved ...

2. You Are Not Trying To Build Legacy 2.0. The rush to adopt new analytics tooling with a dependence on legacy data sources can cause more issues than it solves when it comes to event data streaming.

This is the latest evolution of Kafka, the event stream processing system that emerged at LinkedIn when the social media company exceeded the capability of its relational database. In his Kafka Summit ...

Enabler Functions Evolved with Event Streaming The European Central Bank’s (ECB) report in 2020 concludes, “High-frequency data and its analysis via AI will play a structural role in the ...

The event streaming database ksqlDB is now generally available on Confluent Cloud. Confluent has also announced previews of fully managed Kafka connectors to leading open source infrastructures, ...

Originally developed at LinkedIn, Apache Kafka is one of the most mature platforms for event streaming. Kafka is used for high-performance data pipelines, streaming analytics, data integration ...

Protection against manipulation. The database has endpoints for backup, restore, health checks and monitoring. EventSourcingDB secures events via a blockchain-like hash chain to detect manipulation.