What do you do when you have million-dollar equipment in your manufacturing pipeline giving you sleepless nights? To mitigate risk, you might create a digital counterpart of your physical asset, popularly known as the Digital twin , and leverage augmented intelligence derived from data streams. IoT makes the solution affordab,le and big data enables analytics at scale. For streaming analytics, there is a bounded timeline during which action needs to be taken to control process or asset parameters. Digital twin and stream analytics can help improve the availability of assets, improve quality in the manufacturing process and help in finding RCAs for failures.

For similar analytics use cases, I see Spark streaming best suited as part of the solution due to its open-source and easy-to-program APIs.