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.
Learn how IoT applications can benefit by combining Apache Kafka and Hazelcast IMDG®. Confluent systems integrator, DataMountaineer, has built a real-time, fast data architecture which integrates both technologies to solve operational data management needs.
Now you can process incoming IoT data, with Kafka Connect Sink for Hazelcast IMDG. Hazelcast®’s rich architecture and feature set allows it to receive high velocity writes for data storage, perform distributed processing and act as a perfect Sink.
Hear from DataMountaineer CTO, Andrew Stevenson, and Hazelcast Senior Solutions Architect, Viktor Gamov about how these two technologies are making advanced IoT architectures possible.
Andrew Stevenson, CTO at DataMountaineer
Andrew is CTO and a Fast/Big Data Solutions Architect with DataMountaineer, a SI & Consulting partner of Confluent, the creators of Apache Kafka. Andrew focuses on providing scalable, unified, real-time data pipelines allowing reactive decision making, streaming analytics and Big Data integration.
Viktor Gamov, Senior Solutions Architect at Hazelcast
Viktor Gamov is a Senior Solution Architect at Hazelcast, the leading open-source in-memory technologies company. Viktor has comprehensive knowledge and expertise in enterprise application architecture leveraging open source technologies. He’s helping companies build low latency, scalable and highly available distributed systems. He is co-organizer of Princeton JUG and New York Hazelcast User Group. He is a co-author of O’Reilly’s «Enterprise Web Development». Viktor’s presenting at the conferences (http://lanyrd.com/gamussa/), blogging and producing a podcast. Follow Viktor on Twitter @gamussa.