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Real time big data applications in various sectors


Big data analysis is being used intensively to improve security and law enforcement. The objective is the protection of terrorist attacks. Other examples: Police forces are beginning to use big data tools to find criminals and even prevent criminal activities. Another example that has been used for years is in the detection of fraudulent credit card transactions.

Scientific research is being transformed by the new possibilities offered by big data. Therefore, they distribute computing capacity among thousands of computers distributed among 150 other data centers worldwide to analyze the data. This distributed computing capacity that would otherwise be impossible to process is also used in many other areas of science. According to Big data training institute in Bangalore, Big data analysis is helping machines and devices to be more intelligent and autonomous. An example that is already a reality, Google's self-powered car. The cars they use for the project are equipped with cameras, GPS, internet connection, and a range of computers and sensors that allow the vehicle to travel safely on public roads without the need for human intervention.

According to Big Data Training Institute in Bangalore, Big data analysis tools are also used to optimize energy networks from smart meter data. We can also take advantage of these technologies to optimize the performance of servers and data warehouses. Big data is also being used to improve aspects of our cities and countries. The technology allows optimizing traffic flows based on data that arrives in real-time from traffic, social networks and weather. A growing number of cities are embarked on Smart Cities projects, where transport infrastructure and supply processes work collaboratively.

Some examples: a bus waits to exit automatically due to the delay of an airplane, traffic signals, and traffic lights act automatically to minimize traffic jams. This has been a summary of 10 areas where big data is being used more today. Obviously, there are many more areas and applications, can you think of a situation where you are taking advantage? Do you agree with this data revolution? Please share your point of view and leave your comment below.

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