its called data redundancy.
Yes, there are several algorithms for data compression, that is, store data in less space than it usually needs. However, not all data can be encrypted. Encryption basically takes advantage of some sort of repetition in data; once all repetition has been eliminated, data can be encrypted no more.Yes, there are several algorithms for data compression, that is, store data in less space than it usually needs. However, not all data can be encrypted. Encryption basically takes advantage of some sort of repetition in data; once all repetition has been eliminated, data can be encrypted no more.Yes, there are several algorithms for data compression, that is, store data in less space than it usually needs. However, not all data can be encrypted. Encryption basically takes advantage of some sort of repetition in data; once all repetition has been eliminated, data can be encrypted no more.Yes, there are several algorithms for data compression, that is, store data in less space than it usually needs. However, not all data can be encrypted. Encryption basically takes advantage of some sort of repetition in data; once all repetition has been eliminated, data can be encrypted no more.
It is describing the process of processing data to compute a result. Could be any type of model or report, or a basic mathematic calculation.
result publication
You subtract the smallest data point from the largest data point in the set. The result is the range.
its called data redundancy.
Yes, there are several algorithms for data compression, that is, store data in less space than it usually needs. However, not all data can be encrypted. Encryption basically takes advantage of some sort of repetition in data; once all repetition has been eliminated, data can be encrypted no more.Yes, there are several algorithms for data compression, that is, store data in less space than it usually needs. However, not all data can be encrypted. Encryption basically takes advantage of some sort of repetition in data; once all repetition has been eliminated, data can be encrypted no more.Yes, there are several algorithms for data compression, that is, store data in less space than it usually needs. However, not all data can be encrypted. Encryption basically takes advantage of some sort of repetition in data; once all repetition has been eliminated, data can be encrypted no more.Yes, there are several algorithms for data compression, that is, store data in less space than it usually needs. However, not all data can be encrypted. Encryption basically takes advantage of some sort of repetition in data; once all repetition has been eliminated, data can be encrypted no more.
the distinct in oracle is there is no repetition of data in a query
REPETITION means repeating, or using same thing again and again. It refers to usage of same thing many a times.Example:@ There is repetition of letter 's' in the word 'Mississippi '.@ In this song, the repetition of chorus is more than needed.@ Repetition of first answer will help you memorize it. ==
There are different data processing operations include capturing, transmitting, and storing data. Other operations are manipulating, retrieving, and displaying data.
It is describing the process of processing data to compute a result. Could be any type of model or report, or a basic mathematic calculation.
A subquery is basically a query inside another query. Sometimes a main query needs to process data that is the result of another query. To extract that data a subquery could be built into a field in a main query. This is known as a subquery.A subquery is basically a query inside another query. Sometimes a main query needs to process data that is the result of another query. To extract that data a subquery could be built into a field in a main query. This is known as a subquery.A subquery is basically a query inside another query. Sometimes a main query needs to process data that is the result of another query. To extract that data a subquery could be built into a field in a main query. This is known as a subquery.A subquery is basically a query inside another query. Sometimes a main query needs to process data that is the result of another query. To extract that data a subquery could be built into a field in a main query. This is known as a subquery.A subquery is basically a query inside another query. Sometimes a main query needs to process data that is the result of another query. To extract that data a subquery could be built into a field in a main query. This is known as a subquery.A subquery is basically a query inside another query. Sometimes a main query needs to process data that is the result of another query. To extract that data a subquery could be built into a field in a main query. This is known as a subquery.A subquery is basically a query inside another query. Sometimes a main query needs to process data that is the result of another query. To extract that data a subquery could be built into a field in a main query. This is known as a subquery.A subquery is basically a query inside another query. Sometimes a main query needs to process data that is the result of another query. To extract that data a subquery could be built into a field in a main query. This is known as a subquery.A subquery is basically a query inside another query. Sometimes a main query needs to process data that is the result of another query. To extract that data a subquery could be built into a field in a main query. This is known as a subquery.A subquery is basically a query inside another query. Sometimes a main query needs to process data that is the result of another query. To extract that data a subquery could be built into a field in a main query. This is known as a subquery.A subquery is basically a query inside another query. Sometimes a main query needs to process data that is the result of another query. To extract that data a subquery could be built into a field in a main query. This is known as a subquery.
Activities such as data collection, data storage, data processing, and data analysis are involved in converting raw data into useful information within information systems. These activities help organize, filter, and transform raw data into a format that can be easily interpreted and used for decision-making.
Computer data processing can involve many different activities. One of the most common things it does is compute data to come up with an end result. This may include working on a set of problems and finding the solution.
The data processing manager is the coordinator, planner, and supervisor of systems and software application activities. They also handle the organization of data processing activities.
The data processing cycle is the process of converting data into useful information. The data is processed again and again until the accurate result is achieved. The three basic activities of data processing are: 1. Input 2. Processing 3. Output
Four basic activities of statistics are collecting, analyzing, presenting, and interpreting data