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.
Hazelcast is a powerful open-source software technology that is architected to help you build the fastest applications by using in-memory computing and stream processing. With this added speed, our customers are running more calculations, more machine learning models, and more data transformations in less time.
At the same time, Hazelcast does not compromise on the other requirements of business-critical systems. You also need to retain other success factors like reliability and security. With Hazelcast Enterprise, you get additional capabilities on top of the open-source edition that makes it easier to maintain a production deployment on Hazelcast.
In this webinar, we’ll cover:
Dale Kim is the Senior Director of Technical Solutions at Hazelcast and is responsible for product and go-to-market strategy for the in-memory computing platform. His background includes technical and management roles at IT companies in areas such as relational databases, search, content management, NoSQL, Hadoop/Spark, and big data analytics. Dale holds an MBA from Santa Clara and a BA in computer science from Berkeley.