BIG DATA AND APPLE WATCHBig data is a very large and complex data set; it becomes more difficult to operate using manual database management tools or traditional data processing applications. The first people to use the term “big data” was John Mashey, who began discussing big data in the late 1990s. In 2001, Doug Laney published a paper called “3D Data Management: Controlling Data Volume, Velocity and Variety.” His three Vs – volume, velocity and variety- has been an industry standard way to define big data sets ever since.Big data is getting more important every day. In fact, by 2020, it’s said that 1.
7 megabytes of data will be created every second, for every person on earth. What’s more, spending on big data technology is expected to reach the $57 billion mark this year. With such a wealth of data, if utilized to its full potential, big data can help a brand or business, from learning more about customer habits to streamlining manufacturing processes. Also, it provides ways to analyze information quickly and make decisions. Big data continues to gain great importance in the health sector. Product designers have been trying to integrate technology and clothing for years.
The second best software company in the world, IOS, has developed and designed a product in this regard. Apple Watch was marketed that is a smart watch with Watch OS operating system. When this clock becomes a user-friendly remote control for your environment, then it can collect a large amount of data about you. When you are walking, checking lights in your home, paying directly by using your watch, opening the door to your hotel room, directing your interests during a touristic city visit, Smart Watch understands you more when you get more data about you and you will have your own personal assistant to assist you in your daily activities. Also, the watch includes sensors, which measure heart rate and an accelerometer. The health app of IOS makes it easier to learn about one’s health and achieve the goals. It combines health information and data from the iPhone, Apple Watch. It also suggests other useful practices that make it easier than ever to improve health.
The IOS health app emphasizes four categories. These are activity, sleep, nutrition and mindfulness. Activity is about that IOS health app is motivated by showing how much you move. It combines the metrics of third-party fitness apps with activity data on an iPhone.
The Apple Watch automatically records simple but meaningful movements, such as how often you stop, the amount of exercise, and the burning of the daily calorie. Sleep is related to have a good night’s sleep helps in restoring and repairing the body. The app gives information of health for a healthier sleep routine. Nutrition is about that whether counting calories, carbohydrates, caffeine or several other nutritional metrics, the health application makes it easier to manage targets and exactly follow what one eats. Finally, mindfulness is that finding a moment and taking a few deep breaths and quite the mind is great way of reducing stress and boosting overall health.
Data analysis has a major role in the development of iPhone healthcare applications. Collecting big data will help determine the right apps that can improve health. Generally, almost everything in the world, which generates data, falls under the area of data science which can improve and optimize its existing process. Also, today’s enterprise leaders are realizing that if they want to stay competitive, they need to mine their Big Data for valuable insights.