I would be very grateful if you could explain TWO different ways that potential data problems may be avoided.
I would be very grateful if you could explain TWO different ways that potential data problems may be avoided.
Principles of Information Systems (MindTap Course List)
13th Edition
ISBN:9781305971776
Author:Ralph Stair, George Reynolds
Publisher:Ralph Stair, George Reynolds
Chapter5: Database Systems And Big Data
Section5.1: Data Fundamentals
Problem 2CTQ
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I would be very grateful if you could explain TWO different ways that potential data problems may be avoided.
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Step 1
Without a doubt, the following two methods can help you avoid potential data problems:
- Data Validation: This involves checking the data for accuracy and completeness before it is stored or processed. This can be done through the use of data validation rules, constraints, or data type checking.
For example, checking that a date field only contains valid dates, or that a numeric field only contains numbers within a specified range. This helps to ensure that the data being entered is consistent and conforms to the requirements of the system.
- Data Backup and Recovery: This involves regularly backing up important data and having a plan in place to recover the data in the event of a disaster or system failure. This helps to ensure that the data is protected against accidental deletion or loss and can be recovered if necessary.
A common approach is to backup the data to an external storage device, such as a hard drive or cloud storage, on a regular basis.
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