As the age of big data fades into the sunset -- and many ... Something that has been said repeatedly is that real-time systems are expensive and should only be used when absolutely necessary.

As a result, companies and organizations can gather insights from their customers’ behavior, monitor system performance or analyze trends in real-time. Big Data analytics is crucial for making ...

Most traditional messaging systems don’t scale up to handle big data in realtime, however. So engineers at LinkedIn built and open-sourced Apache Kafka: a distributed messaging framework that ...