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In this video, we explore the three primary architectural approaches to connecting factory systems, inspired by Martin Kleppmann's - Designing Data-Intensive Applications book. First, we discuss Dataflow Through Databases, where all factory systems read from and write to a central database like a Historian. This method is straightforward and easy to implement but lacks real-time processing capabilities. Next, we examine Dataflow Through Service Calls, which involves direct, synchronous communication between systems via RESTful APIs or RPCs. While this approach enables real-time interaction and is relatively easy to set up, it can become complex at scale, leading to maintenance challenges and difficulty in debugging. Finally, we focus into Dataflow Through Asynchronous Message Passing, introducing a message broker like Apache Kafka, HiveMQ, or RabbitMQ into your architecture. This method supports real-time data streams, decouples systems for improved scalability, and offers flexibility in adding or removing components. However, it adds complexity by introducing another component to manage and increases the potential points of failure. 👉 If you are looking for the best MQTT broker for your IoT or IIoT project, check out our blog article: https://learn.umh.app/blog/comparing-... ------ Interested to learn more? 🌐 Visit our website: https://www.umh.app/ 📚 Explore UMH Learning Center: https://learn.umh.app/ 🔗 Join our Discord Community: / discord ------ #Historians #OpenSource #DataManagement #TimescaleDB #Reliability #Compression #IndustrialAutomation #DataIntegrity #SmartManufacturing #ITOT #DataArchitecture hashtag#RealTimeData hashtag#BusinessAnalytics hashtag#IIoT hashtag#IT hashtag#OT hashtag#UNS hashtag#Databases #automationtutorial #automationpyramid #mqtt #uns #protocolconverters #messagebroker #isa95 #iiot #dashboard #manufacturing #mqtt #datavisualization #manufacturingautomation #industrialiot #operationaltechnology #itot #unifiednamespace #realtimedatabase #uns #automationtutorial #smartmanufacturing #howto