Speaker: Marta Paes Moreira & Jakub Piasecki
More: https://aceu19.apachecon.com/session/7-reasons-use-apache-flink-your-iot-project-how-we-built-real-time-asset-tracking-system
IoT data poses several challenges to data processing systems. The volume of machine-generated data is huge, users expect timely reactions as soon as real-world events are detected by remote sensors, and connections to edge devices often suffer from varying and often high transfer latencies, resulting in data arriving out-of-order. Apache Flink is an open-source stream processor, that addresses the challenges that IoT data presents. Flink applications run in production at a massive scale at many enterprises and companies, including Alibaba, Netflix, and Uber. In this talk, we will discuss seven reasons why Apache Flink is well-suited for your IoT data project and present how we built a system for real-time RFID asset tracking that is backed by Apache Flink.
Related Post:
- #ACEU19: Paul Brebner – Kongo: Building a Scalable Streaming IoT Application using Apache Kafka
- OMG!! MITT HYBRID-LAG FÖR 2 MILJONER COINS!! FIFA 19 Ultimate Team på Svenska
- IBM Db2 Warehouse: Stream IoT data with Apache Kafka
- Bosch IoT Web Days: How to start an IoT project at your comapany
- Top 7 IoT (Internet of Things) Projects | IoT Project Ideas | IoT Training | Edureka
- DIY World's Smallest IoT project| IoT button | ESP8266 projects | IoT Projects
- Windows IoT #4: Azure IoT Hub and IoT Central Integration for Windows IoT (Getting Started Series)
- IoT Tutorial for Beginners | Internet of Things (IoT) | IoT Training | IoT Technology | Edureka
- IoT – Internet of Things | What is IoT? | IoT Explained in 6 Minutes | How IoT Works | Simplilearn
- Top IoT Projects 2023 | Useful IoT Devices | Smart IoT Projects | IoT Applications | Simplilearn