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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Training Set: In the field of machine learning, a training set is a dataset used to train a model. It is a subset of the larger dataset and is used to teach the model how to make predictions by showing it examples of input data and the corresponding outp ... Read More >>
Iteration: Iteration is the process of repeating a set of instructions or a sequence of steps multiple times, often with the aim of reaching a desired outcome or result. In data science, iteration is a fundamental concept that is used in various algor ... Read More >>
Advanced Encryption Standard: Advanced Encryption Standard (AES) is a symmetric encryption algorithm used to protect sensitive data. It is a block cipher that encrypts data in fixed-size blocks of 128 bits using a key of 128, 192, or 256 bits. AES is widely used in vari ... Read More >>

Data Modeling

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