Answer:
data = [0,1,2,3,4]
for i in range(4):
print(data[i])
i+=1
Explanation:
Loops can be utilized in a listing process by looping back to a list with a variable while the loop increases that variable to give a different response from the list.
Answer:
Explanation:
The following code is written in Java. It creates the interface/prototype, the function, and the main method call. The function takes in the three int parameters, adds them, and then checks if the sum equals zero, outputting the correct boolean value. Output can be seen in the picture attached below. Due to technical difficulties I had to add the code as a txt file below.
Hiding/masking personal identifiers from a data set, so that the data set can never identify an individual, even if it is correlated with other data sets is known as anonymization.
<h3>What is anonymization?</h3>
The term anonymization is known as data masking and it is the standard solution in the case of data pseudonymisation. It is generally recognised by using masking and data is de- sensitised also that privacy could be maintained and private information remains safe for the support.
Data is generally identified by using masking and data is de- sensitised also that privacy could be maintained and private information remains safe for the support.
Therefore, Hiding/masking personal identifiers from a data set, so that the data set can never identify an individual, even if it is correlated with other data sets is known as anonymization.
Learn more about anonymization here:
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Answer:
The enormous amount of data and information that a company generates and consumes today can become an organizational and logistical nightmare. Storing data, integrating it and protecting it, so that it can be accessed in a fluid, fast and remote way, is one of the fundamental pillars for the successful management of any company, both for productive reasons and for being able to manage and give an effective response to the customers.
Good big data management is key to compete in a globalized market. With employees, suppliers and customers physically spread across different cities and countries, the better the data is handled in an organization, the greater its ability to react to market demand and its competitors.
Databases are nowadays an indispensable pillar to manage all the information handled by an organization that wants to be competitive. However, at a certain point of development in a company, when growth is sustained and the objective is expansion, the doubt faced by many managers and system administrators is whether they should continue to use a database system, or if they should consider the leap to a data warehouse. When is the right time to move from one data storage system to another?
