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Big Data
Big Data refers to extremely large and complex data sets that cannot be processed using traditional data processing methods. These data sets are typically so large that they cannot be managed or analyzed using standard software tools. Big Data is characterized by its volume, velocity, and variety. Volume refers to the sheer amount of data that is generated and collected, while velocity refers to the speed at which data is generated and processed. Variety refers to the different types of data that are generated, including structured, semi-structured, and unstructured data. Big Data is often used in machine learning and artificial intelligence applications to train models and make predictions based on patterns and trends in the data.
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- Symmetric Key Algorithm: A symmetric key algorithm is a type of encryption algorithm that uses the same key for both encryption and decryption of data. In this method, the sender and receiver of a message share a secret key that is used to encrypt and decrypt the m ... Read More >>
- Software Applications: Software applications are computer programs designed to perform specific tasks or functions for end-users. These applications can be developed for various platforms such as desktop, web, mobile, and cloud. In the context of data science and ... Read More >>
- High-dimensional Datasets: High-dimensional datasets refer to datasets that have a large number of features or variables compared to the number of observations. In other words, the number of dimensions in the dataset is much higher than the number of samples. High-di ... Read More >>
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News Source: Business Insider on 2025-02-21
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