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Hazelcast is a real-time stream processing platform that lets you build applications that take action on data immediately. Run your real-time capabilities on-premises, at the edge, or as a fully managed cloud service.


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The State of Stream Processing featuring Forrester

Where it is today and where it might be heading Streaming data is driving an evolution of data management systems. Companies are seeking to take full advantage of streaming (real-time) data in their business processes and operations. Financial services companies are using new data to make fraud detection algorithms faster and more accurate. Retailers are making hyper personalized recommendations to their customers “in the moment” – when they are in the store or online at the website looking at merchandise. Healthcare providers are harnessing the data from patient monitoring systems to more accurately predict health issues before they become emergency situations. Data management software vendors have been evolving along with the additional demands and it seems like every tool is now a “real-time” or streaming platform. What’s the current state of stream processing and where might it be heading? Join Dennis Duckworth, Director of Technical Solutions at Hazelcast and guest speaker Mike Gualtieri, VP & Principal Analyst, Forrester Research as they share their insights, knowledge, and experiences in a webinar, a mix of presentation and open discussion, exploring the following topics:
Webinar Data Management Software Technology Design & Architecture
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A Real-Time Reference Architecture for Data-Driven Businesses

Delivering real-time capabilities in your business should be a top priority in today’s competitive market. But with all the different technologies available to turn your real-time data into a significant asset, it’s hard to know where to start. This real-time architecture paper gives you ideas on what to look for when pursuing a real-time business, and gives some guidance on the high-level components of a real-time architecture you need to deliver the most value from your fresh data.
Whitepaper Technology Design & Architecture
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Adding Real-Time Stream Processing to Promote Offers at the Right Time

BNP Paribas was able to increase their online loan offer conversions by 400% by leveraging real-time offers. BNP Paribas Bank Polska, which has been listed on the Warsaw Stock Exchange since 2011 is a member of the BNP Paribas banking group whose footprint spans 71 countries. In Poland, as a universal bank with a global reach, it provides services to retail customers and other segments including Wealth Management, microbusinesses, SMEs and corporate banking. As it advocates green initiatives, BNP Paribas Bank Polska supports its clients in the transition to a low carbon economy, endeavors to curtail the adverse impact of its operations on the natural environment and inspires clients to make good financial decisions. The Bank has provided funding for more than 20,500 households to install photovoltaic panels. The Bank also consistently pursues its strategy of financing businesses in Poland while also supporting investments of strategic importance to the country with a positive social, economic and environmental impact.
Case Study Technology Design & Architecture
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The Hazelcast and Apache Kafka® Transaction Processing Reference Architecture

Hazelcast is used to accelerate the performance of transaction-based systems that have stringent requirements around high throughput and low latency. Such systems can encounter loads of millions of transactions per second, especially during load spikes. This means the system must run as quickly and efficiently as possible to deliver consistent response times at any load. The system must also offer elasticity to grow dramatically in anticipation of large seasonal load spikes. This paper describes a high performance architecture based on the Hazelcast Platform.
Whitepaper Technology Design & Architecture