What is data shadow? How to reduce its misuse? Languages that are allowed are? Where is variable shadowing allowed, and what are examples?
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Data Shadow Definition: A data shadow is a slang phrase for the sum of all little traces of information left behind by an individual during daily activities. When a person writes an email, changes a social media profile, swipes a credit card, uses an ATM, and so on, a small amount of data is createdRead more
Data Shadow Definition:
A data shadow is a slang phrase for the sum of all little traces of information left behind by an individual during daily activities. When a person writes an email, changes a social media profile, swipes a credit card, uses an ATM, and so on, a small amount of data is created.
The concept of a data shadow has become a serious worry since it is difficult to control who looks at a person’s data shadow, what conclusions they draw, and what actions they take based on those conclusions.
To minimize the misuse of an individual’s data shadow, data privacy regulations exist, and more are being developed. This can happen, for example, if an employer fires an employee because of his or her Facebook connections or images.
Privacy regulation, on the other hand, frequently lags behind an organization’s ability to gather, organize, and analyze data.
Data from surveillance systems are a major source of storage capacity requirements. This information is constantly gathered and retained for a long time, generating a permanent record of online and offline activity.
Individuals’ privacy is an issue, and IT is burdened as the data pushes storage demands and potentially exposes sensitive info.
People are captured on higher resolution video for significant portions of their days in numerous places. As the number of devices, their resolution, and other data details rise, so will the amount and size of these data files. With such a large amount of data, privacy policies, data ownership, retention, and disposal must all be considered.
Administrators who are not sufficiently aware of the problem of keeping up with policy risk being held liable for leaks if data is kept that should have been discarded, or for compliance failure if data is discovered missing that should have been saved.
ALGOL, which originally used blocks to define scopes, was one of the first languages to incorporate variable shadowing. Many derivative programming languages, for example, C, C++, and Java, allowed it as well.
Variable Shadowing Meaning:
Variable shadowing is allowed between an inner and an outer class, as well as between a method and its contained class in the C# language, but not between an if-block and its containing method or between case statements in a switch block.
Variable shadowing is permitted in more circumstances in some languages than in others.
For example, in Kotlin, an inner variable in a function can shadow a provided argument, and a variable in an inner block can shadow another variable in an outer block, whereas this is not possible in Java. A supplied argument to a function/Method in both languages can be used to shadow a Class Field.
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