Data Modeling

Data modeling is the process of creating a conceptual representation of data objects, relationships between different data objects, and rules governing data manipulation and transformation. It involves identifying the data requirements of an organization and creating a data model that represents those requirements in a structured and organized way. Data modeling is an essential step in the development of any database or information system, as it helps to ensure that the system is designed to meet the needs of the organization and its users. There are several types of data models, including conceptual, logical, and physical models, each with its own level of detail and abstraction.

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Data Collection Methods: Data Collection Methods refer to the techniques and processes used to gather and measure information on targeted variables in order to answer research questions, test hypotheses, and evaluate outcomes. In the context of Data Science, data c ... Read More >>
Skill-based Recommendation System: A skill-based recommendation system is a type of recommendation system that suggests items or services based on the user's skills and expertise. It uses machine learning algorithms to analyze the user's past behavior, preferences, and skill ... Read More >>
Labeling: Labeling is the process of assigning one or more meaningful and informative tags or labels to a dataset or a subset of it. The purpose of labeling is to provide a clear understanding of the data and to make it easier to analyze and interpre ... Read More >>

Data Modeling

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