In order to achieve digital manufacturing and Industry 4.0, it is critical to aggregate and manage the huge amount of data generated on the shop floor by Industrial Internet of Things (IIoT) sensors and devices. Having connected machines, workers and systems is just the start of the digital transformation journey. To extract real value from this connectivity, a digital twin of machines and processes have to be created which will aggregate heterogeneous data and provide valuable insights to drive productivity and efficiency. The interoperability and flexibility of different assets is an important challenge due to the volume and variety of data that needs to be modeled for the digital twin. This talk will go over Industry 4.0 compliant data modeling principles using the MongoDB Smart Factory testbed as an example. We will model the data in a way that fulfills requirements and needs of Industry 4.0: interoperability, scalability, flexibility and resilience. Speaker: Dr. Humza Akhtar, Principal, Industry Solutions Company: MongoDB Level: Beginner .local Toronto ’22 playlist ➡️ https://trymongodb.com/3VbiM6Y Subscribe to MongoDB ➡️ https://bit.ly/3bpg1Z1 #MongoDBlocalToronto22

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