Hazelcast

Hazelcast

软件开发

Palo Alto,California 12,623 位关注者

Hazelcast modernizes applications with a unified real-time data platform.

关于我们

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. The platform is relied upon by many Global 2000 enterprises in financial services, e-commerce, logistics, and other industries that are vital to the daily essential activities of individuals and businesses

网站
https://hazelcast.com
所属行业
软件开发
规模
51-200 人
总部
Palo Alto,California
类型
私人持股
创立
2010
领域
clustering、distributed caching、distributed computing、In-Memory Computing、Java、NoSQL、data processing、stream processing、real-time data、real-time compute、real-time data platform、machine learning、streaming analytics、serverless、cloud computing、SQL、Python和Real-Time Application

地点

  • 主要

    3000 El Camino Real

    Building 4, Suite 200

    US,California,Palo Alto,94306

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  • Mahir ?z Cad. No:35 Altunizade

    TR,Istanbul,Uskudar,35662

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  • 1 Fore Street Avenue

    GB,England,London,EC2Y 9

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Hazelcast员工

动态

  • 查看Hazelcast的公司主页,图片

    12,623 位关注者

    Join Senior Solutions Architect Mike Yawn on a journey through the evolution of a simple pipeline into a high-performance, scalable #ETL engine. Watch as we progress from test sources to real data streams from #Kafka, transforming a logger sink into a dynamic #Hazelcast IMap for fast, queryable data. Explore iterations for converting JSON into accessible formats like HazelcastJsonValue, HashMap, TradeView, and Compact GenericRecord, balancing power and flexibility. See the pipeline come alive in Management Center with effortless data querying. Tune in for Episode 12 of Tell-U-Vision and learn how to make #DataManagement look effortlessly cool. Full episode here: https://ow.ly/pR0Q50Uabj7

  • 查看Hazelcast的公司主页,图片

    12,623 位关注者

    A robust data pipeline is the cornerstone of modern data-driven enterprises, enabling them to harness the power of data for informed decision-making and #innovation. As technology continues to advance, the evolution of data pipelines will play a crucial role in modern data-driven organizations by enabling the seamless flow of information across various stages of data processing. Learn all about data pipelines, how they work, and their benefits in detail here: https://ow.ly/9zvP50U9pzc

  • 查看Hazelcast的公司主页,图片

    12,623 位关注者

    Celebrate the holiday season with Hazelcast and the London Java Community with a fun evening of learning, networking, and festive cheer as we examine how the #Hazelcast Platform goes beyond caching to meet complex enterprise needs. What’s in store: ?? In-Depth Insights: Hear from Humphrey Fu Engineering Lead at Santander, as he shares the journey of integrating Hazelcast into their FX platform. Discover how a simple caching solution evolved into a core infrastructure component! ?? Expert Perspectives: Gain insights into managing system failures and ensuring fault tolerance from the Hazelcast Engineering Team. ??? Raffle Alert: Enter for a chance to win a Star Wars LEGO? set! Every attendee gets a raffle entry. ??? Snacks: Enjoy refreshments and seasonal treats to keep you energized throughout the evening. Don't miss out—save your spot today: https://ow.ly/9h8p50U6l0p ?? Date: December 4, 2024 ?? Time: 6:00 pm GMT ?? Location: Uncommon, 34-37 Liverpool St, London EC2M 7PP

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  • 查看Hazelcast的公司主页,图片

    12,623 位关注者

    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

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  • 查看Hazelcast的公司主页,图片

    12,623 位关注者

    ?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

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  • 查看Hazelcast的公司主页,图片

    12,623 位关注者

    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

  • 查看Hazelcast的公司主页,图片

    12,623 位关注者

    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 Gaw?da 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

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