If you're interested in me speaking at your event/conference, please email me at
fawaz.ghali@hazelcast.com
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Real-time Stream Processing without Migraines
Nürnberg, Germany, Developer Week 23, 26 June 2023
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Real-time Fraud Detection - Challenges and Solutions
Oslo, Norway, NDC Oslo 2023, 26 May 2023
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Real-time Fraud Detection - Challenges and Solutions
Berlin, Germany, EIC 2023, 12 May 2023
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Running Machine Learning Analytics On Traces
Berlin, Germany, EIC 2023, 11 May 2023
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, , 26 April 2023
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Maximizing Node.js Applications Performance using Hazelcast
London, UK, CityJS 2023, 30 March 2023
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Real-time Stream Processing without Migraines
GeoPython 2023, GeoPython 2023, 07 March 2023
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Simplifying Real-time Stream Processing on the Cloud
Manchester, UK, Manchester JUG, 01 March 2023
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Running real-time machine learning analytics on traces
Talence, France, PyCon Fr 2023, 25 February 2023
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Real-time Fraud Detection Challenges and Solutions
Alpharetta, United States, SQL Saturday Atlanta 2023, 25 February 2023
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Human Mobility and Real-time Machine Learning at Scale
Lisbon, Portugal, Global AI PowerPlatform, 25 February 2023
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Efficient Microservices Deployment in the CloudSolutions
Montreal, Canada, ConFoo, 23 February 2023
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Scaling Real-time Machine Learning made Easy
Montreal, Canada, ConFoo, 22 February 2023
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Scaling Real-time Machine Learning made Easy
Montreal, Canada, Montreal JUG, 21 February 2023
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Real-time Stream Processing without Migraines
Virtual, Java Dev Summit, 21 February 2023
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Real-time Stream Processing without Migraines
Virtual, HPC-AI Advisory Council, 14 February 2023
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Best Practices For Real-Time Stream Processing
Brussels, Belgium, FOSDEM 2023, 05 February 2023
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Running Real-time Stream Processing Analytics On Traces
Brussels, Belgium, FOSDEM 2023, 04 February 2023
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Simplifying Real-time Machine Learning Deployment for OSS Projects at Scale
Lyon, France, Lyon Java User Group - LyonJUG, 24 January 2023
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Scaling High-Performance Real-time Stream Processing Microservices
Grenoble, France, Alpes JUG - LyonJUG, 23 January 2023
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Five Challenges in Real-time Stream Processing and Five Solutions
Ohio, USA, CodeMash, 10 January 2023
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Real-time Fraud Detection Challenges and Solutions
Frankfurt, Germany, Java User Group Frankfurt (JUGF), 07 December 2022
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High Performance Stream Processing in Kubernetes Made Easy
Munich, Germany, DevOps Conference, 06 December 2022
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Online Feature Stores for Realtime Machine Learning
Hull, UK, DDD North, 03 December 2022
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Maximizing Node.js Applications Performance using Hazelcast
Lodz, Poland, 4developers, 29 November 2022
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Best Practices for Building High Performance Real-time Stream Processing Microservices
Nice, France, Riviera JUG, 22 November 2022
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Best Practices for Building High Performance Real-time Stream Processing Microservices
Marseille, France., Marseille JUG, 21 November 2022
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Real-time Stream Processing in Kubernetes using Hazelcast
Istanbul, Turkey, Turkey Java Community, 17 November 2022
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Hazelcast Real-time Machine Learning Challenges and Solutions.
Ankara, Turkey, Turkey Java Community, 16 November 2022
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Elastically scale .NET caching to meet your real-world needs
Wroclaw, Poland, 4developers, Wroclaw, 08 November 2022
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Five Challenges in Real-time Stream Processing and Five Solutions
Wroclaw, Poland, 4developers, Wroclaw, 08 November 2022
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Running Machine Learning Analytics On Traces
Belgrade, Serbia, Heapcon, 04 November 2022
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Best Practices for Real-time Stream Processing
Göteborg, Sweden, Javaforum Göteborg, Sweden, 02 November 2022
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Scaling Real-time Machine Learning made Easy with Hazelcast
Utrecht, the Netherlands, Blipz on the Rada, 01 November 2022
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Best Practices for Real-time Machine Learning
Porto, Portugal, Porto Tech Hub Conference, 27 October 2022
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Simplifying Real-time Machine Learning Deployment for OSS Projects at Scale
Lyon, France, Lyon Java User Group, 25 October 2022
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Real-time Fraud Detection - Challenges and Solutions
Prague, Czech Republic, GeeCon 2022, 25 October 2022
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Hazelcast Powers Real-Time Fraud Detection
Manchester, UK, JManc unconference, 22 October 2022
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Best Practices for Human Mobility and Real-time Machine Learning
Chicago, IL, US, ClueCon 2022, 20 October 2022
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Real-time Fraud Detection - Challenges and Solutions
Berlin, Germany, Predictive Analytics World, 06 October 2022
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A Systematic Literature Review and Meta-Analysis of Event Streaming in Academia
Austin, Texas, Kafka Summit Current 2022, 04 October 2022
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Five Challenges in Real-time Stream Processing and Five Solutions
Chicago, Illinois, United States, JConf.dev 2022, 27 September 2022
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Hazelcast Viridian Efficient Microservices Deployment in the Cloud
Chicago, Illinois, United States, Foojay Day, 26 September 2022
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Scaling Real-time Machine Learning made Easy with Hazelcast
London, UK, Big Data London, 21 September 2022
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Real-time Stream Processing in the Cloud Challenges and Solutions
Austin, TX, Developer Week, 14 September 2022
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Effective Real-time Stream Processing Made Easy with Hazelcast
Wroclaw, Poland, Wroclaw JUG, 13 September 2022
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Real-time Stream Processing in Spring Made Easy with Hazelcast
London, UK, London Java Community, 25 August 2022
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Elastically scale .NET caching to meet your real-world needs
Liverpool, UK, .NET Liverpool, 28 July 2022
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Best Practices for Real-time Stream Processing using the Hazelcast Open-source Platform
Istanbul, Turkey, İstanbul Coders, 19 July 2022