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The Analytics Engineering Podcast

Operationalizing Your Warehouse, Streaming Analytics, and Cereal (W/ Arjun Narayan of Materialize and Nathan Bean of General Mills)

Oct 6, 2023
Arjun Narayan, CEO of Materialize, and Nathan Bean, a data leader at General Mills, discuss operationalizing warehouses, streaming analytics, and the challenges of manufacturing cereal. They cover the maturation of streaming technology, data management challenges, real-time operational decision-making, managing variation in manufacturing, digital twins for manufacturing line automation, operationalizing warehouses, trade-offs between batch and real-time analytics, the evolution of streaming analytics, and query languages in data analytics.
42:23

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Quick takeaways

  • Operationalizing warehouses and leveraging streaming analytics are crucial for enhancing business operations in the manufacturing industry.
  • Real-time data streams from machines on the plant floor provide crucial insights for optimizing manufacturing processes and ensuring product quality and throughput.

Deep dives

The Importance of Operationalizing Warehouses and Streaming Analytics

In this podcast episode, the guests discuss the significance of operationalizing warehouses and leveraging streaming analytics. They focus on Materialize, a company building and operational warehouse, and General Mills, which utilizes manufacturing analytics and insights. The conversation explores the founding story of Materialize, the maturation of streaming technology, and how companies are utilizing their warehouses to enhance their business operations. The guests emphasize the role of data in ensuring reliable manufacturing and the challenges of managing real-time information in complex manufacturing processes.

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