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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MAC Addresses: A MAC (Media Access Control) address is a unique identifier assigned to a network interface controller (NIC) for use as a network address in communications within a network segment. MAC addresses are used as a means of ensuring that data is ... Read More >>
Public Key: In data science and cryptography, a public key is a cryptographic key that can be freely distributed to anyone and is used to encrypt messages intended to be sent to the owner of the corresponding private key. The public key is derived from ... Read More >>
Software Modules: Software modules refer to independent components of a software system that can be developed, tested, and maintained separately. These modules are designed to perform specific functions and can be combined to create a larger software system. ... Read More >>

Data Flow

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