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File structures that remain after a file has been deleted

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Harmony Will

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4d ago

Data remanence refers to the residual representation of data that remains even after attempts have been made to remove or erase it. This can occur due to remnants of magnetic or electrical traces on storage media. Data remanence is a concern for security and can potentially lead to data breaches if not properly dealt with.

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Q: What is Data remanence is?
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What is a repository for definitions of data processes data flows data stores and data elements.?

A data dictionary is a repository that contains definitions of data processes, data flows, data stores, and data elements used in an organization. It helps to provide a common understanding of data terminologies and structures within a dataset or system. Data dictionaries are often used to maintain consistency and clarity in data management and analysis processes.


What is metadata what is its use in data warehouse architecture?

Metadata is data about data that provides information such as the structure, format, and characteristics of the data stored in a data warehouse. It is used in data warehouse architecture to facilitate data integration, data governance, and data lineage. Metadata helps users understand and manage the data in the data warehouse efficiently.


What is explicit data and implicit data?

Explicit data is data that is clearly stated or defined, while implicit data is implied or hinted at. Explicit data is typically straightforward and directly provided, whereas implicit data requires context or interpretation to understand its meaning. In the context of programming, explicit data is data that is clearly declared and specified, while implicit data is data that is inferred or derived.


Is a logical unit of data and is a physical unit of data?

A logical unit of data is a virtual representation of data while a physical unit of data is the actual storage of data on a physical device. The logical unit of data is how data is organized and manipulated from a software perspective, while the physical unit of data is how data is stored on hardware such as disks or memory.


What are the Data staging steps in data warehousing?

Data staging in data warehousing involves steps like data extraction from source systems, data transformation to prepare it for analysis, and data loading into the data warehouse. This process ensures that data is cleansed, standardized, and organized before being stored in the data warehouse for reporting and analytics purposes.

Related questions

What has the author James K Goldston written?

James K. Goldston has written: 'A guide to understanding data remanence in automated information systems' -- subject(s): Information storage and retrieval systems, Security measures, Computer security


What has the author D W Emerson written?

D. W. Emerson has written: 'Magnetic exploration models, incorporating remanence, demagnetization and anisotropy HP 41C handheld computer algorithms' -- subject(s): Magnetic prospecting, Data processing


What is remanence?

The magnetization left behind in a ferromagnetic material (e.g. iron) after an external magnetic field is removed.


Why sram is called static ram?

Static random-access memory (SRAM) is a type of semiconductormemory that uses bistable latching circuitry to store each bit. The term staticdifferentiates it from dynamic RAM (DRAM) which must be periodically refreshed. SRAM exhibits data remanence,[1]but it is still volatilein the conventional sense that data is eventually lost when the memory is not powered.


How would you write about SRAM?

---SRAM--- Static random access memory (SRAM) is a type of semiconductor memory where the word static indicates that it, unlike dynamic RAM (DRAM), does not need to be periodically refreshed, as SRAM uses bistable latching circuitry to store each bit. SRAM exhibits data remanence, but is still volatile in the conventional sense that data is eventually lost when the memory is not powered. The term SDRAM, which stands for synchronous DRAM, should not be confused with SRAM.


What is used to make magnets?

A good permanent magnet should produce a high magnetic field with a low mass, and should be stable against the influences which would demagnetize it. The desirable properties of such magnets are typically stated in terms of the remanence and coercivity of the magnet materials.


What is a repository for definitions of data processes data flows data stores and data elements.?

A data dictionary is a repository that contains definitions of data processes, data flows, data stores, and data elements used in an organization. It helps to provide a common understanding of data terminologies and structures within a dataset or system. Data dictionaries are often used to maintain consistency and clarity in data management and analysis processes.


How do you get enclave remanence armor in Fallout New Vegas?

first you need to make arcade gannon your companion then you need to bring him to three places to trigger his memory i know 2 are repfconn headquarters and the crashed vertibird you can look up the other ones then he will give you a quest and follow that to reform the enclave and you will receive the armor


What is master data metadata and run time data?

Metadata is data that is about data.?æ Although it describes the data, it's not considered business data. Master data is business data. Run-time data is data that is in the process of being run.


Another word simliar to storage?

Data Store Data Reserve Data Stow Data Warehouse Data Repository Data Depot Data Storehouse


Data formats and data collection?

Data formats: It is formating all data file from pcs.whatever it is not use.suppose when data is full,and some data we want to delete it.. Data collection: It is the collection of new data file.when new data is collecting..


Difference between meta data and data dictionary?

Metadata is data that provides information about other data, such as the structure, format, and relationships of data elements. A data dictionary, on the other hand, is a centralized repository that defines and describes the data elements within a database, including their definitions, attributes, and relationships. In summary, metadata is broader and encompasses various types of information about data, while a data dictionary specifically focuses on defining and documenting the data elements within a database.