Big Data Mining is like a treasure hunt, except you're looking for gold instead of searching through the dirt and rocks. The only problem? You don't know what you're looking for or where to find it or if it even exists in the first place. So how do you pick up your shovel and start digging? Data mining is not just the analysis of data; it's the analysis of the correct data. Extensive data mining is analyzing all the right data—the whole shebang. Extensive data mining refers to a process that uses more advanced algorithms and tools to analyze large volumes of disparate information. Big data is not just about importance; it also involves velocity (the speed at which data is generated), variety (the different types of data), and veracity (the quality of data). Big data mining techniques allow you to find patterns in your business that would otherwise be impossible using conventional methods. The main aim of extensive data mining is to enable data scientists to extract knowledge from data that would have otherwise been impossible to analyze and interpret. The data has to be structured first. As data mining is the process of extracting information from data, structured data is much easier to work with than unstructured data. Data can be structured in a variety of ways, depending on the type of data it is. For example, numerical data can be stored as numbers, turn words into numbers, turn dates into a specific format, etc. Once data is structured, we can analyze it. Data mining involves discovering patterns, extracting insights from data, and modeling data to allow future data prediction. Once all this is done, the data is structured again, making it easy for you to use. It's a data mining technique that works on large quantities of unstructured data, like text, images and video. It helps you understand your customers better by analyzing their behavior, interests and preferences. With extensive data mining, users can analyze large amounts of data to find patterns and trends in the data. It helps them make more informed decisions about their business.