Semi-structured data is data that is not captured or formatted by traditional methods. Semi-structured data does not follow the format of a tabular data model or relational databases because it does not have a fixed schema. However, the data is not completely raw or unstructured and has some structural elements, such as labels and organizational superdata, which will facilitate its analysis. The advantages of semi-structured data are that they are more flexible and simpler to scale compared to structured data.
Bayesian Networks are one of the most widely used types of probabilistic graphical models. Providing effective solutions for decision making and inference under uncertainty, these networks play a critical role in artificial intelligence, machine learning and data analysis.
Demand forecasts help make the right business decisions by predicting future demands for products and services. Demand forecasts cover finely detailed data, historical sales data, surveys and more.
Data cleanup, or data rubbing, is the process of detecting and correcting or removing data or records that are incorrect from a database. It also includes correcting or removing unformatted or duplicate data or records.
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