We, at Centre Source, are adept in engineering data, visualizing the same on a medium/platform & managing information using various industrial/professional techniques. Now we have set sights on big-data and it shows that we are evolving into this generation/era. Nowadays, big-data has gained popularity owing to its benefits from a business perspective. Hence, we too are into big data processing. Before processing, we must conduct big data mining along with its analytics and also an integration of the same. Read on to find out more about big data.
Data mining big data involves exploring & analyzing vast amounts of data to find any patterns. The fields of statistics as well as Artificial Intelligence (AI) along with database management helps with the process. The algorithms used in data mining include classification trees, logistical regression, neural networks, and clustering techniques such as the K-nearest-neighbor technique. With these big data gets mined & collected for its proper analysis as well as processing.
Graph visualization is the most simplified form of interactive data visualization. We, at Centre Source, works with several graphical representations for a visual reference of data at hand. This becomes pretty useful for data analysis & the analytics team. Nowadays, big-data is gaining prominence. Our workforce at Centre Source is adept in handling tools for big data visualization as well. A visualization technology stack includes basic mathematics, graphics, engineering algorithms, data analysis, design aesthetics, visual basis as well as visualization solutions. Our professional data visualization engineers work with all these aesthetics to master the tools at use.