Life happens as a continuous flow of events (a stream). Ted Dunning and Ellen Friedman describe new designs for streaming data architecture that help you get real-time insights and greatly improve the ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Data stream processing is defined as a system performing transformations for creating analytics on data inside a stream. In Part 1 of this series, we defined data streaming to provide an understanding ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
PALO ALTO, Calif.--(BUSINESS WIRE)--Confluent, Inc., the enterprise event-streaming platform pioneer, today announced the closing of a $125 million Series D round led by Sequoia Capital, bringing ...
We’re only three months into 2016, but it has been an exciting year in open source and big data. With a marked jump in growth, usage and queries on Apache Kafka (Redmonk), the demand for engineering ...
Organizations demand real-time analytics in order to make the best decisions for their business. They want data streamed from data sources such as IoT devices, online transactions and log files, which ...
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