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.
With the constraints of centralized technology in the rearview for leading companies, data has become the foundation
of competitiveness, with practitioners building data-driven applications and services capable of leveraging this data in new ways to better engage employees, partners and customers.
Alongside opportunity, however, decentralization has brought challenges. Among them is the emergence of a new category of data silos and a spectacular growth in unstructured data. Decentralization has therefore seen data become harder to discover, process and analyze.
At the same time, IT professionals building data-driven applications have found themselves adapting to new foundational technologies and architectures: cloud-native patterns and technologies such as microservices that have moved from the proof-of-concept stage to the heart of production.
Research commissioned by Hazelcast sought to understand how organizations are responding to these challenges. The online, invitation-only survey spoke to 629 businesses and IT decision-makers in the U.S., Europe, and Asia Pacific to find out.