In the previous article, we have discussed what big data is and its application. In this article, we want to talk about how big data work to help you have a better understanding about this technology. How does it work?
Big data analytics works based on the principle that the more you know about one situation, the more insights you can gain which will help you to make better predictions and decisions. By comparing all data, finding out the patterns, big data analytics allows us to see the odd, what’s missing out in the bigger picture. This is done via a process which involves building models, running simulations, tweaking the data points’ value, and monitoring how it impacts the results. This process is normally automated in today’s advanced analytics technology. But data can come from many unstructured forms, therefore, it cannot be easily put into tables or any predetermining form. These unstructured data are normally in the form of pictures or videos, satellite images to Facebook/Twitter’s pics, or even recorded telephone calls, email and instant messenger communications. In order to make sense of all of this data, big data projects often utilize cutting edge technologies like AI and ML. Big data analytics tool can find patterns and identify what one data represents via image recognition or natural language processing. Some Big Data concerns Although Big data gives us a vast amount of valuable insights, helps us recognize unprecedented opportunities, it also raises concerns and question like:
The amount of data will be undoubtedly increasing, and the analytics tools will become more capable. Having a solid understanding of it brings you many benefits, and that is the purpose of our articles. If you still have any questions regarding big data analytics, or even cybersecurity, machine learning, devops, etc, follow our blog post and leave us a comment below! Don’t forget to check out our website to know more about our services!
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