This document discusses data models and database management system architectures. It covers:
1) Categories of data models including conceptual, implementation, and physical models.
2) Classifications of DBMSs including the data model used (relational, network, etc.), number of users, number of sites, and cost.
3) Common multi-user DBMS architectures like teleprocessing, file-server, and client-server (two-tier and three-tier).
Components of DDBMS, Computer workstations or remote devices,Network hardware and software components,Communications media,transaction processor (TP), data processor (DP),
An perspective into the raise of NoSQL systems and an comparison between RDBMS and NoSQL technologies.
The basic idea of the presentation originated while trying to understand the different alternatives available for managing data while building a fast, highly scalable, available, and reliable enterprise application.
Components of DDBMS, Computer workstations or remote devices,Network hardware and software components,Communications media,transaction processor (TP), data processor (DP),
An perspective into the raise of NoSQL systems and an comparison between RDBMS and NoSQL technologies.
The basic idea of the presentation originated while trying to understand the different alternatives available for managing data while building a fast, highly scalable, available, and reliable enterprise application.
Course Title: Database Programming with SQL
Course Code: DEE 431
TOPICS COVER:
Database Terminologies
Drawbacks of Traditional System
Data processing Modes
Application of DBMS
Types of Database
Histroy of Database
Characteristics of Database
Advantages and Disadvantages of Database
Types of database architecture: 1 Tier, 2 Tier, 3 Tier
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Videos on YouTube:
video 01
https://youtu.be/alh6O6Q_9sc
video 02
https://youtu.be/b2UwGeOTEX0
video 03
https://youtu.be/R7K0W3yinLo
Sm 11 part_02_03
Strategic Management course version 11
Strategic management in any organization is important as it provides overall direction by developing plans and policies designed to achieve objectives and then allocating resources to implement the plans.
Video on YouTube:
video 01
https://youtu.be/alh6O6Q_9sc
video 02
https://youtu.be/b2UwGeOTEX0
video 03
https://youtu.be/R7K0W3yinLo
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Strategic Management course version 11
Strategic management in any organization is important as it provides overall direction by developing plans and policies designed to achieve objectives and then allocating resources to implement the plans.
Objectives:
1- introduction
2- Evolution of Marketing
3- CX Definition
4- Why is CX important for your business
5- The benefits of delivering a great CX
6- What is a good CX
7- The difference between CX & CS
8- The CX Cycle
9- Ways to Communicate your Customer
10- Measuring CX
11- Analyzing CX
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Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
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Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
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The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
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Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2. 1- Data Model
2
A collection of concepts that can be used to define
the DB structure (data items& types, relationships,
operations, behavior, and constraints).
Some Data Models:
Entity Relationship model
Relational Model
hierarchical & network models
object-data models
4. 3- Categories of Data Models
4
Conceptual (high-level, semantic) data models:
Provide concepts that are close to the way many users
perceive data.
(Also called entity-based or object-based data
models.)
Implementation (representational) data models:
Provide concepts that fall between the above and below,
used by many commercial DBMS implementations (e.g.
relational data models used in many commercial
systems).
Physical (low-level, internal) data models:
Provide concepts that describe details of how data is
stored in the computer. These are usually specified in an
ad-hoc manner through DBMS design and
administration manuals
6. 4- Classification of DBMSs
6
Data Model Classification
relational,
network,
hierarchical,
object-oriented
Number of users
single user or multi-user
Number of Sites
centralized vs distributed
Cost of the DBMS
Data Model
Number of
users
Number of
sites
Cost of the
DBMS
7. 5- System Catalog
7
Repository of information (metadata) describing
the data in the database.
One of the fundamental components of DBMS.
Typically stores:
names, types, and sizes of data items;
constraints on the data;
names of authorized users;
data items accessible by a user and the type of access;
usage statistics.
10. 6-2 File-Server
10
File-server is connected to several
workstations across a network.
Database resides on file-server.
DBMS and applications run on each workstation.
Disadvantages include:
Significant network traffic.
Copy of DBMS on each workstation.
Concurrency, recovery and integrity control more complex.
15. 15
B- Three-Tier
Client side presented two problems preventing
true scalability:
‘Fat’ client, requiring considerable resources on client’s
computer to run effectively.
Significant client side administration overhead.
By 1995, three layers proposed, each
potentially running on a different platform.
6-3 Client-Server (cont.)
16. 16
Advantages:
‘Thin’ client, requiring less expensive hardware.
Application maintenance centralized.
Easier to modify or replace onetier without
affecting others.
Separating business logic from database functions
makes it easier to implement load balancing.
6-3 Client-Server (cont.)
18. 7- Transaction Processing Monitors
18
Program that controls data transfer
between clients and servers in order to
provide a consistent environment,
particularly for Online Transaction
Processing (OLTP).
Online Analytical Processing (OLAP).