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.
Overview
Hazelcast offers professional training and education for those who want to enhance and expand their abilities. No matter where you are in your skills with in-memory database technologies, you’ll learn something new and useful. From our in-depth instructor-led onsite courses to our many online courses and resources, there’s something here for everyone.
Credentials
Hazelcast offers three professional credentials and one certification
Credential holders have completed basic training on developing applications that incorporate the Hazelcast platform to perform stream processing, in-memory computing, and in-memory storage. They have had hands-on practice in creating distributed data structures, distributed computing jobs, and stream processing pipelines, and have passed a comprehensive exam on the topics covered in the training.
Credential holders have completed advanced training on developing applications that incorporate the Hazelcast platform to perform stream processing, in-memory computing, and in-memory storage. They have had hands-on practice in combining IMDG and Jet to create real-time data processing applications, can optimize application performance, and have passed a comprehensive exam on the topics covered in the training.
Credential holders have completed training on deploying the Hazelcast platform in both on-site and cloud environments. They can install, upgrade, and optimize Hazelcast clusters; set up multiple types of redundancy; and implement Enterprise features including security and WAN replication. They have had hands-on practice in troubleshooting and performance tuning Hazelcast clusters, and have passed a comprehensive exam on the topics covered in the training.
The credentials training and exams can be accessed via training.hazelcast.com.
For questions about the credentials and certification program, contact [email protected].
Hazelcast's ever-expanding online training center provides in-depth courses for a range of experience levels. Whether you're interested in learning the basics of in-memory systems, or you're looking for advanced, real-world production examples and best practices, we've got you covered.
These in-person, instructor-led training courses include interactive discussions and hands-on workshops covering a wide range of topics. Check back often as we add more trainings in a city near you!
Hazelcast onsite training is delivered by hands-on experts in Hazelcast technology, in-memory data grids, high-performance distributed computing, and stream processing in both the open source and enterprise spheres. We can deliver an in-person version of our online training courses combined with customized content focused on your specific needs.
Hazelcast offers helpful guides, white papers, webinars, videos and more on a variety of topics. Whether you’re just getting started, or already using Hazelcast for your applications, we have information to help you maximize your Hazelcast investment.
Sr. Director of Technical Solutions, Dale Kim, will dive into Hazelcast's in-memory data grid and event stream processing engine. He will also highlight some interesting and innovative use cases built by Hazelcast customers
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Mainframe computers are used at many companies today, but the need for more cost-effectiveness is forcing changes. A popular strategy, mainframe optimization, balances mainframe usage with in-memory computing closer to the application tier, reducing unnecessary MIPS. At the same time, it adds powerful new architectures related to cloud, microservices, and data streaming. An integration with […]
Whether you're interested in learning the basics of in-memory systems, or you're looking for advanced, real-world production examples and best practices, we've got you covered.
