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Svetradugi [14.3K]
2 years ago
15

Why can a failure in a database environment be more serious than an error in a nondatabase environment?

Computers and Technology
2 answers:
Elina [12.6K]2 years ago
5 0
Failure in a database environment is more serious then a non data base because if you lose important information you may not get it back and failure in a nondatabase environment the problem may be more easier to solve
Anestetic [448]2 years ago
3 0

Answer:

Failures in database environments can occur due to hardware failures, power failures and software/programming error.

Of these three errors, the non-database environment can survive the hardware failure due to recovery processes and the Software/programming error.

Explanation:

Databases are quite fragile when they hit a hardware failure if you try to recover them (Most of them have raw files that can only be read by certain types of Database Management Softwares) this does not exist in the Non-Database Scenario as most of these records are kept in files.

Software failures can occur when a wrong query is used to retrieve data from a DBMS. This can be frustrating except the user gets the right query.

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A.Big,Rectangular

Explanation:

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Which presenter would most likely benefit from a custom slide show?
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Which presenter would most likely benefit from a custom slide show?

a teacher who teaches four sessions of the same course
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C# Write, compile, and test a program named PersonalInfo that displays a person’s name, birthdate, work phone number, and cell p
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Answer:

#include <stdio.h>

#Include<iostream>

using namespace std;

//Define required function

PersonalInfo( )   {

    printf("Name   : Robert Josh\n");  

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    return(0);  

 }

int main()   {

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 return 0;

 }

Explanation:

Its just a simple code to print required details when the function PersonalInfo is called.

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2 years ago
A small e-commerce company uses a series of Robotic Process Automation solutions to manage the backup of data from individual wo
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Answer:

Cloud.

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Basically, cloud computing comprises three (3) service models and these include;

1. Platform as a Service (PaaS).

2. Software as a Service (SaaS).

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II. Resource pooling: this allows cloud service providers to serve multiple customers or clients with services that are scalable and provisional.

For example, the provisioning of On-demand computing resources such as storage, network, virtual machines (VMs), etc., so as to enable the end users install various software applications, database and servers.

Hence, the technology that could be combined by the small e-commerce company with its current automated processes is cloud storage.

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