Data Processing
Data processing is the transformation of raw data into a more meaningful form through a series of operations or processes. These processes can include cleaning, sorting, filtering, aggregating, and analyzing data to extract insights and make informed decisions. Data processing can be performed manually or through automated systems, and can involve various technologies such as databases, data warehouses, and big data platforms. The goal of data processing is to turn data into actionable information that can be used to improve business operations, optimize processes, and drive innovation.
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- Geo-spatial Positioning: Geo-spatial positioning is the process of determining the location of an object or phenomenon in space using geographic coordinates. In data science, geo-spatial positioning is used to analyze and visualize data that has a geographic compon ... Read More >>
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