Data Flow

Data flow refers to the movement of data between different systems, applications, or components within a larger system. It involves the identification of the source of data, the processing of data, and the destination of data. Data flow is an important concept in data science as it helps to understand how data is being used and transformed within a system. It is also important for data integration and data management, as it helps to ensure that data is being transferred and processed correctly and efficiently. Data flow can be visualized using data flow diagrams, which show the flow of data through a system and the processes that are involved in transforming the data.

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Left-censoring: Left-censoring is a statistical method used in data analysis to handle incomplete data where the values below a certain threshold are not observed or recorded. In other words, left-censoring occurs when the data is truncated from below, mea ... Read More >>
DevOps: DevOps is a set of practices that combines software development (Dev) and information technology operations (Ops) to shorten the systems development life cycle while delivering features, fixes, and updates frequently in close alignment with ... Read More >>
Dynamic Memory Allocation: Dynamic Memory Allocation is the process of allocating memory during the runtime of a program. In this process, the size of memory required by a program is not known beforehand, so the memory is allocated dynamically during the execution of ... Read More >>

Data Flow

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