Data Extraction
Data extraction is the process of retrieving data from various sources and transforming it into a format that can be easily analyzed. This process involves identifying the relevant data sources, collecting the data, and cleaning and transforming it to ensure its accuracy and consistency. Data extraction is a critical step in the data analysis process, as it lays the foundation for all subsequent analysis. It is used in a variety of industries, including finance, healthcare, and retail, to gather insights and make informed decisions based on data.
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- Data Transfer Rates: Data transfer rate refers to the amount of digital data that is moved from one place to another in a given amount of time. It is usually measured in bits per second (bps) or bytes per second (Bps). In data science, data transfer rates are i ... Read More >>
- Decentralized: Decentralized refers to a system or network that operates without a central authority or control. In the context of data science and artificial intelligence, decentralization is often associated with blockchain technology, which allows for ... Read More >>
- Primary Data: Primary data refers to the original data collected for a specific research purpose. It is collected directly from the source through methods such as surveys, experiments, and observations. Primary data is considered more reliable and accura ... Read More >>
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News Source: CBS News on 2025-04-19
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News Source: Business Insider on 2025-04-18
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News Source: CBS News on 2025-04-18
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News Source: Business Insider on 2025-04-18
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