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Introduction to in-memory computing with Hazelcast IMDG (operational data store) and Hazelcast Jet (ultrafast stream & batch processing)
Traditional data stores and even NoSQL solutions are increasingly unable to meet low latency and scale requirements of cloud native architectures. In-memory data grids (IMDGs), a phenom of the application development world, have arisen as a key stack component of modern applications. Learn about the number one open source and fastest IMDG in the market and their plans for extending into event stream processing with their new open source project Hazelcast Jet.
David Brimley – VP of Product
Previously, David has held senior front office engineering positions in the City of London at firms such as Credit Suisse, HSBC, Nomura, Royal Bank of Scotland and Barclays. During this time, he became familiar with distributed systems architecture and IMDG products such as Pivotal Gemfire, Oracle Coherence & Hazelcast.
Kevin Cox – VP of Marketing
Kevin has been in high-tech for over 20 years leading major strategic marketing initiatives for IBM, Dell, and SAP as well as many other tech companies and startups.
Headquartered in Silicon Valley’s Palo Alto, Hazelcast is the leading operational data management company which addresses the growing demand for enhanced application performance, data processing speed and scalability.
Hazelcast has two products: Hazelcast IMDG, an operational, in-memory computing platform which enables enterprises to manage their data and distribute processing using in-memory storage and parallel execution to achieve breakthrough application speed and scale; and Hazelcast Jet, the ultrafast, application embeddable, stream and batch processing engine.
Hazelcast is relied upon by 32 of the Fortune Global 500 including four of the world’s ten largest banks, six of the world’s twenty largest e-commerce companies, and four of the world’s twenty largest telecommunications companies.
(Friday) 9:00 am - 11:59 am