Bay Cities (CONT’D FROM PAGE 24)
chines. They are telling your machines to go up, down, left, right, move quicker, slow down. The SCADA (Supervisory Control and Data Acquisition) area is where your machines are measuring ways not to overheat or fail. “Those supervisory acquisitions of data allow you to see that a machine is ready to go down. The next thing is MES (Manufacturing Execution System), which is the manufacturing and supervisory area of your business. That allows you to understand scheduling, to understand manipulations of the timing going into your manufacturing systems. “Above that in the data stack is ERP (Enterprise Re- source Planning), which is the sales data coming in, the history of what happened in your administration, what hap- pened in the manufacturing base. How did you do? What
did you do? And how did everything work? “Finally, at the top, is the Cloud, which is the server where all this data goes.” It is very common, Tucker noted, for these stacks to be disconnected with different companies servicing different
areas of the stack without communicat- ing with one another. For efficiency, and to have true data accessibility, the stacks must be connected. “When we connect this stack, we have free flowing information up and down that stack,” he said. “And what we want to do is mark data using MQTT (Message Queuing Telemetry Transport, a lightweight mes- saging protocol) into what’s called a uni- fied namespace. “That’s almost like a library with a Dew- ey decimal system of data, so that we can bring that data up and down that stack and use it at a moment’s notice in real-time. Just think of the power of that. We can get real-time data up and down that stack at a moment’s notice without having to go through an MES (manufacturing execution system), without having to go through an ERP system. It’s flying at a millisecond no- tice. “In a real scenario, in a large climate area — a giant business — this is really what a connected stack can do,” he con- tinued. “Utilizing your data everywhere, up and down, all around. You get data easily, you get it quickly, you get it addressed, you get it shared, you optimize your operation, and you improve your decision making because you get your data now. The ben- efits of a connected stack are improved data accessibility, real-time data analysis, increased agility, and enhanced customer experience.” Once all this data is collected, the chal- lenge becomes its storage. A data lake is a vast pool of raw data, the purpose of which
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