We know that big data is important for businesses and organizations. We know that it that has many applications that can help in increasing efficiency across platforms. What we often don’t know is that managing big data in realtime scenarios can be fairly difficult.
Simply put, big data management is the process in which the vast resources of data are organized, put into the required administrative areas and then governed by various tools and processes. The idea behind this is to make sure there is no loss of quality, and both the structured and unstructured data can be utilized to derive necessary information.
Security is of great concern when managing big data in realtime scenarios. To monitor the constant flow of information, there needs to a method in which it can be safeguarded. This is the top priority as it helps in loss of quality. Each piece of data must be judged for usability, and this requires a lifecycle process to be implemented. The lifecycle helps in segregating the data, sending it to the more important processes and using to achieve an end goal.
Managing big data in realtime needs data handling processes as well. It reduces the risk involved in storing and moving the information, especially when the volume and velocity grow quickly.
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On-demand startups make the maximum use of managing data. Uber is great example, as it tracks the location of cars, the drivers, the customers and integrates traffic on the roads into their app seamlessly. Another app that shown great promise with big data is Apple Health, which integrates data from most wearable watches and then provides cumulative health data to the user and the medical community.
Furthermore, there are apps such as AirBnB, which can predict trends in the housing community and preference of living accommodation. This information helps city officials in planning or restructuring the city over time. The fact is, managing real-time data is not an easy process. However, companies such as Mob Inspire Inc. can provide the expertise need for the same.