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O

Speaker

Oded Nahum

2

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Global Head of Cloud & Data Streaming Practice Ness

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In this session, we’ll walk through how Apache Flink was used to enable near real-time operational insights using manufacturing IIoT Data sets. The goal: deliver actionable KPIs to production teams with sub-30-second latency, using streaming data pipelines built Kafka, Flink and Grafana. We’ll cover the key architectural patterns that made this possible, including handling structured data joins, managing out-of-order events, and integrating with downstream systems like PostgreSQL and Grafana. We’ll also share real-world performance benchmarks, lessons learned from scaling tests, and practical considerations for deploying Flink in a production-grade, low-latency analytics pipeline. The session will also include a live demo

If you're building Flink-based solutions for time-sensitive operations—whether in manufacturing, IoT, or other domains—this talk will provide proven insights from the field.


DISCLAIMER We don't cater to attendees under the age of 18. If you want to host or speak at a meetup, please email [email protected]

In this session, we’ll walk through how Apache Flink was used to enable near real-time operational insights using manufacturing IIoT Data sets. The goal: deliver actionable KPIs to production teams with sub-30-second latency, using streaming data pipelines built Kafka, Flink and Grafana. We’ll cover the key architectural patterns that made this possible, including handling structured data joins, managing out-of-order events, and integrating with downstream systems like PostgreSQL and Grafana. We’ll also share real-world performance benchmarks, lessons learned from scaling tests, and practical considerations for deploying Flink in a production-grade, low-latency analytics pipeline. The session will also include a live demo

If you're building Flink-based solutions for time-sensitive operations—whether in manufacturing, IoT, or other domains—this talk will provide proven insights from the field.