EBK CONCEPTS OF DATABASE MANAGEMENT
EBK CONCEPTS OF DATABASE MANAGEMENT
9th Edition
ISBN: 8220106831816
Author: Last
Publisher: CENGAGE L
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Chapter 9, Problem 1RQ
To determine

To define distributed database and DDBMS.

Expert Solution & Answer
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Explanation of Solution

A distributed database is a database that comprises of two or more files situated in various destinations either on a similar system or on altogether various systems. This database can be stored on different storage devices and processing is distributed among multiple databases.

Distributed DBMS (DDBMS):

It is a centralized application that manages a distributed database. This database framework synchronizes information intermittently and guarantees that any adjustment in information made by clients is all around refreshed in the database. A Distributed DBMS is the product which will deal with the distributed database. It also gives the information related to getting to the property, also making this conveyance straightforward to every one of the clients, so as to make the information accessible to every one of the clients.

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EXPLORER OPEN EDITORS Welcome com.py... Welcome xcom.py 2 ✓ DB com.py com.sql 6 8 9 10 11 12 13 14 15 16 17 com.py db class Rectangle: def _init_(self, length, width): self.length-length self.width-width def area(self): return self.width *self.length def perimeter(self): return 2+self.width*self.length y=Rectangle(5,1) print(y.area) Why does an error appear in the code print(y.perimeter) PROBLEMS OUTPUT TERMINAL DEBUG CONSOLE PORTS I > OUTLINE > TIMELINE 0A4 0 self.width *self.length AAAA NameError: name 'self' is not defined PS C:\Users\hp\Desktop\db> & C:/Users/hp/AppData/Local/Microsoft/WindowsApps/python3.12.exe c:/Users/hp/Desktop/db/com.py Traceback (most recent call last): File "c:\Users\hp\Desktop\db\com.py", line 1, in class Rectangle: File "c:\Users\hp\Desktop\db\com.py", line 7, in Rectangle self.width *self.length ^^^^^ NameError: name 'self' is not defined PS C:\Users\hp\Desktop\db> Ln 17, Col 1 Spaces: 4 UTF-8 CRLF (Python 3 A ENG
Refer to page 30 for problems on image edge detection. Instructions: Implement an edge detection algorithm (e.g., Sobel or Canny) for the given image. • Explain the preprocessing steps (grayscale conversion, noise reduction) and calculate gradient intensities. • Visualize and compare the results with manual edge annotations. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZ F/view?usp=sharing]
Refer to page 100 for problems on 2D and 3D transformations. Instructions: Compute the result of applying a sequence of transformations (e.g., translation, rotation, scaling) to a given shape. Use homogeneous coordinates for matrix representation. • Show all intermediate matrices and verify the final position of the shape. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440 AZF/view?usp=sharing]
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