Real-time stream processing is growing exponentially in recent years, businesses need to gather insights from real-time data as soon as it’s generated. To do this, developers and software architects use various pipelines and tools to capture and process data in motion. Real-time stream processing has its own challenges such as testing and life-cycle management, scaling and performance, event time and late events, streaming fault tolerance, and processing guarantees.

In this talk, I will address those challenges and demonstrate the best practices for real-time stream processing, from data ingestion to data processing with ultra-low latency at scale and at speed, using the Hazelcast platform. I will discuss how you can optimize your real-time streaming projects in the following areas: scalability, performance, failover, reliability, and data recovery.

• LEVEL OF TALK: Intermediate
• LANGUAGE: Talk: en / Slides: en
• LOCATION: St. Gallen
• ROOM: OST – Ostschweizer Fachhochschule, Campus St.Gallen, Rosenbergstrasse 59, 9000 St. Gallen, Room FZ 311
• SPEAKER: Fawaz Ghali   COMPANY: Hazelcast INC
• AGENDA: 18:00-19:15h: Talk incl. Q/A
  After an interesting talk, you will have the opportunity to exchange ideas and network with the speaker and professional colleagues over beer, wine and rich finger foods.

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Fawaz Ghali