This short video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory and/or stream processing technologies.
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing?
In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects.
Now, deploying Hazelcast-powered applications in a cloud-native way becomes even easier with the introduction of Hazelcast Cloud Enterprise, a fully-managed service built on the Enterprise edition of Hazelcast IMDG. Can't attend the live times? You should still register! We'll be sending out the recording after the webinar to all registrants.
This is a guest post for Computer Weekly Open Source Insider written in full by John DesJardins in his role as field CTO and VP of solution architecture for North America region at operational in-memory computing company Hazelcast.
In vielen modernen Branchen ist eine geringe Latenzzeit – also die Zeit, die Daten von ihrer Quelle zu ihrem Ziel benötigen – heute durchaus entscheidend. Für Banken und Finanzdienstleister gilt dies umso mehr, da sich in diesem Sektor die Geschwindigkeit, mit der Netzwerke Kommunikation übertragen und Transaktionen ausführen, direkt proportional zur Rentabilität verhält. Und weil Zeit Geld ist, kann die Differenz zwischen Milli- und Mikrosekunden gleichzeitig einen erheblichen Unterschied zwischen großen Gewinnen oder Verlusten bedeuten.
Hazelcast, the platform for in-memory computing, has announced major improvements to its event-based real-time streaming engine Hazelcast Jet. The product is also intended to facilitate integration with OpenShift and Kubernetes.
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Für das Framework zum Verarbeiten paralleler Datenströme existieren Operatoren für Kubernetes und OpenShift. Außerdem gibt es neue Data-Sink-APIs für Java.
Hazelcast today announced significant optimizations to its real-time event streaming engine, Hazelcast Jet, further establishing it as a premier solution for edge computing environments.
Hazelcast, a provider of an in-memory computing platform, is releasing Hazelcast Cloud Enterprise on Amazon Web Services (AWS), a low-latency deployment of Hazelcast software as a managed service.
Hazelcast Cloud Enterprise is now available on Amazon Web Services (AWS).
Hazelcast is looking to make it easier for organizations to benefit from machine learning alongside event streaming data, with the recent release of the Hazelcast Jet 4.0 update.
In-memory computing platform maker Hazelcast on Wednesday announced new support in its Hazelcast Jet event stream processing engine for artificial intelligence (AI) and machine learning (ML) deployments of mission-critical applications.
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