What Big Data Generated in IoT Era is Used for_Data Analyst Exam
The market for connected devices, including fitness wearables, smartwatches, smart glasses, as well as remote sensing devices used to track medical instruments, is said to be growing rapidly in the coming years. Market research firm Gartner predicts that the Internet of Things will reach 26 billion devices and appliances by 2020, not including personal computers, tablets and smartphones.
There are so many sensors to collect data on the status of devices, their surroundings, and human behavior, among other things, that companies can use this data information to their benefit. But the question arises: what exactly can be done with this data and information? How do you process that data efficiently and utilize it in the smartest way possible?
For businesses, they are realizing that it's not enough to just collect a lot of data, and that on its own, it's a small point of interest. Vernon Turner, an analyst at market research firm IDC, said, "Once the data collection is done, if you don't do any analysis, any forecasting, it's just kind of static and doesn't bring any value."
Some recent cases in the consumer market bear this out. For example, a fitness wearable that does little more than tell the user how many steps they've taken each day. However, this wearable would be much more valuable if it were connected to other medical data. In this case, through a related app, the user could know that his symptoms of high blood pressure might be related to a lack of exercise. Or, the fitness device could recognize that the user is exercising less on weekends, and then it would send a message reminding the user to exercise more as appropriate.
SunPower app
An employee at SunPower USA pointed out that users of the company's roofs with integrated solar panels can check their home's daily, weekly, and monthly energy production and use using an app developed specifically by the company.
An employee of the U.S.-based SunPower pointed out that users of the company's integrated solar panel roofs can use the company's specially developed application to check the home's daily, weekly and monthly energy production and use.
The same is true for businesses, which can gather detailed information about products in their areas of specialization, combine that information with data from other sources, and then help them make informed business decisions.
Kurt Cagle, chief evangelist for semantic technologies at Avalon Consulting LLC, said, "People's minds are moving toward, 'What difference can your company make in the world? And not just about the consumer's self-interest, which is a big shift." Avalon Consulting is a business that helps business organizations and institutions manage the Internet of Things.
Traditionally, Cagle said, organizations typically use software like business intelligence (BI) to look at data generated by activities or operations within the company. But those companies can certainly bring more and more value to their organizations if they add some public **** data about their surroundings or local events, or data generated from sensors of other companies in the same field.
However, it has been shown that it is very often a struggle to gather information about all of this data, because it all comes in different forms. Many organizations have taken steps in the right direction, but not many have built complete, subtle solutions; and even if some use similar solutions, they still need to revise and test them to make them work well.
Learning to Integrate
IDC's Turner said, "We've seen countless organizations go through the experimental phase and start deploying sensors and collecting data. However, most organizations don't have a complete solution regarding data collection. And utilizing data for the benefit of the business is very complex in terms of actual implementation and deployment."
Enterprises need the back-end infrastructure support to help them collect data from all sources, analyze that data, and make the collected data as valuable as it should be. Then, they also need dashboards and virtualization technologies to enable their business people to make sense of that data so that they can make informed decisions based on that information.
Daikin Applied is one such company that, with the help of its partners, has deployed a sophisticated suite of hardware and software products to collect and analyze more than 4,000 different data points about its commercial rooftop heating and air conditioning units. The Intel-designed system can be synchronized with weather forecasts, allowing building managers to adjust the temperature of the entire building ahead of time based on the forecast, and letting Daikin know when a component regulating the energy supply may be faulty, so Daikin can send a technician to service the machine ahead of time.
In the future, the system will allow Daikin to analyze important data generated by localized application infrastructures, which can help reduce the energy output and losses of specific equipment components," said Kevin Facinelli, executive vice president of operations for Daikin Applied. infrastructure in this area is still in the early stages of preparation." Daikin Applied is part of Japan's Daikin Industries, the world's largest HVAC manufacturer.
To accomplish the implementation and deployment of this work, hardware plays a very important role. The system's boot gateway is based on an Intel Quark SoC chip running Wind River's operating system, and the security software uses McAfee's software products.
Facinelli noted, "We're able to transfer all the data perfectly using the SoC, not just through the cloud." Facinelli's statement implies that the Intel chip-based gateway configured in his system will be deployed on all of Daikin's future rooftop systems to transmit critical data as if it were a change in the state of the part, rather than just a line of "system OK" signals. Some of the on-site processing reduces the amount of data that needs to be transmitted, and Daikin's primary use of data-flow connectivity helps to reduce the data storage load on its back-end infrastructure.
Meanwhile, Daikin uses a power meter to check the energy supply in each unit. Over the network, the power meter transmits data about energy signals to Intel's cloud, where it analyzes the data to determine the actual energy usage of each component of the HVAC system, such as a fan or refrigeration compressor.
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