Hazelcast offers a unified real-time data platform that combines a distributed compute engine and a fast data store for real-time and AI-driven applications, according to self-described claims.

Hazelcast

Hazelcast | 12,608 followers on LinkedIn. Hazelcast modernizes applications with a unified real-time data platform. | Hazelcast is a leading software provider powering mission-critical applications that move the economy.

Hazelcast Platform is the foundational architecture providing core capabilities for AI and critical applications. With a revolutionary approach, Hazelcast Platform combines distributed compute, in-memory data storage, intelligent integration, and vector search to simplify application development, deployment, and maintenance.

Roland Manger

James KW Tsao

James Gardiner

Managing Director, C5 Capital

Kurt Scherer

Ready to elevate your data processing capabilities with Hazelcast? 📢 Presenting Hazelcast Tell-U-Vision 📢 This video tutorial series is designed to amplify your expertise in unified #real -time data processing. Whether you're just starting or looking to refine your skills, these concise, insightful videos explore essential topics in in-memory computing and stream processing. Start building your skills today: https://ow.ly/9Ffi50U6o0N #TechTalk #Learning #Tutorial

Looking to implement AI? #Hazelcast is here to simplify your projects and boost success rates. #Hazelcast Chief Data Scientist Stephen Weston explores the evolution of #AI and addresses the challenges organizations grapple with today. Watch now: https://ow.ly/u6eI50U6nm3

Entry processors are a great starting point for beginning to explore the #DistributedCompute capabilities of #Hazelcast .With the right application, a task taking an hour can be completed in under a second. Watch Senior Solutions Architect Mike Yawn walk through the complete EntryProcessor API here: https://ow.ly/Tp9550TM0Ej

✨New feature alert!✨ We’re determined to bring innovative improvements to our users for refinement and improvement of technical content to make our products as intuitive and rewarding as possible. We're delighted to announce that we’ve added powerful new #AI functionality to our docs website. You can now click the “Ask AI” button in the bottom right of every docs page and get instant answers to all your questions about #Hazelcast Platform, tools, and clients. Click below to read more about how the “Ask AI” functionality works, and then give it a spin yourself! https://ow.ly/npxn50U5tVG

Join us as we explore #Jet , the powerhouse of Hazelcast's stream processing. Here’s what’s on the agenda: - A deep dive into Jet’s internals and its role in the Hazelcast ecosystem. - A step-by-step demo of the classic Word Count task using the Pipeline API. - Building your first pipeline with two simple stages: readFrom and writeTo. - Adding a third stage to filter out unnecessary data. We’ll run a job on the Hazelcast cluster, guide you through real-time monitoring in the Management Center, and showcase the DAG in all its graphical glory. So, if stream processing feels like you’re battling the cartel of data complexity—sit back and relax. We’ve got Jet on our side, making your life easier, one pipeline at a time! 💪✨ Full episode is available here: https://ow.ly/ZgQI50U2tSX #StreamProcessing #Hazelcast #Jet #DataScience #Learning

Thieves, beware! 🛑 Many banks operate with a blend of modern and legacy systems that pose challenges for upgrades due to their complexity and the need for uptime guarantees. Senior Software Engineer Tomasz Gawęda provides a practical example of how prominent sectors like #finance and #banking can use the new #Hazelcast Platform Enterprise CDC connector to modernize batch systems into real-time streaming solutions. See how to integrate payment detail streaming with other services without disrupting source database workloads, and start coding today: https://ow.ly/bXIm50TWzpx #DataStreaming #Innovation

Join our live virtual workshop to enhance your skills in building high-performance data pipelines with #Hazelcast . Designed for experienced #Java programmers and architects, this hands-on session will cover distributed compute technologies, a practical payment processing use case, advanced features like vector collections, and an introduction to Hazelcast Flow, our upcoming No-Code/Low-Code solution for managing data pipelines. 🗓️ Nov 13, 2024 🕐 1:00pm Asia/Singapore / 10:30 am IST / 1:00 PM SGT / 3:00 PM AEST 👉 Register here: https://ow.ly/EpSu50TUI6W #TechTalk #VirtualWorkshop

#Compute involves three key elements: ✅ Accurate data representation ✅ Effective algorithms ✅ The underlying mathematics that supports it What possibilities emerge when you excel in all three? Watch now to hear #Hazelcast Chief Data Scientist Stephen Weston explore the capabilities of #DistributedCompute and #EdgeCompute : https://ow.ly/sAnp50TQ05e

#TeamHazelcast had a fantastic October, celebrating significant events like Halloween, Diwali, and Karnataka Rajyotsava! Our offices worldwide buzzed with joy, creativity, and cultural pride. Here’s a glimpse behind the scenes! If you’re looking to join a company that values cultural celebration and makes every moment count, we’re hiring! Click here to discover your next big opportunity: https://lnkd.in/g-ciJUvr

Let’s look at Hazelcast Platform's distributed compute capabilities - Entry Processors. We aim to make your code run faster, increase concurrency, and ease multi-step operations. In this video, our Senior Solutions Architect, Mike Yawn, takes you through the complete EntryProcessor API, its invocations methods, and its immense benefits. We'll explore these concepts with a simple use case - creating a map that holds counter values, and then updating all the counters.See for yourself how, with the right application of Entry Processors, a task taking an hour can be completed in under a second. So, let’s build something together and leverage Hazelcast's powerful distributed compute capabilities to accelerate your applications. Click here to watch the full video: https://ow.ly/UwQ350TLY0C #Hazelcast #EntryProcessors #DistributedComputing

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