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 Auto Database Integration (Auto DBI) is a highly efficient time-saving tool for working with databases. It streamlines the development of Hazelcast applications by generating a Java domain model representation (POJOs and more) of the database, allowing companies to be productive with Hazelcast in no time. In addition, it integrates with any RDBMS and supports most standard database types, including BLOB and CLOB.
In this webinar, you will learn some of Auto DBI’s capabilities, such as:
David has traveled the world, helping people make sense of low-latency, in-memory technology solutions. With 30 years in the IT industry, he began his career as a Cobol programmer before moving into Investment Banking IT as a Java Developer and Architect. During this time, David developed a deep interest in distributed systems research, focusing on low-latency processing, consensus, and reliability. Today, David is Vice President of Product at Hazelcast where he is helping to build out our next generation Real-Time Application Platform.
Per Minborg is CTO at Speedment, Inc. in Palo Alto. He is focusing on high-performance solutions, cloud technologies, and concurrent programming. He is a regular speaker at various conferences such as. JavaOne alumni, Devnexus, jdays, and JUGs. Per has 15+ US patent applications and invention disclosures. He runs the blog “Minborgs Javapot blog” with a million reader, he is a co-author of Modern Java – Research Guides. He has studied computer science and computer security at a Ph.D. level.