Entity Relationship Model: Analyze the components of an entity relationship model.
Did you know that the Entity Relationship (ER) model acts as the blueprint for the database design process? It's the roadmap that database designers use to create a well-structured and efficient database. Let's delve into the analyses of its components.
The Cornerstones: Entities and Attributes
In the ER model, an Entity is a real-world object, event, or concept about which data is collected. A database for a bookstore, for instance, might have 'Book', 'Author', 'Publisher' as entities. These are the subjects that hold our interest and serve data points.
Each entity is defined by its Attributes. These are the properties or characteristics of the entity. For instance, a ‘Book’ entity might have attributes like 'Title', 'ISBN', 'PublicationYear', etc. Essentially, attributes provide specific details about an entity. It's what makes each entity unique and identifiable.
The Linkage: Relationships and Cardinality
Relationships 🤝, another crucial component, are associations or interactions between entities. For example, in our bookstore database, a possible relationship could be 'Author writes Book'. Relationships highlight the dynamic nature of real-world systems.
The degree or extent of relationships is defined by Cardinality. It specifies the numeric relationship between two entities. Taking the 'Author writes Book' relationship, the cardinality could be one-to-many if an author writes multiple books.
Visualizing with Entity Relationship Diagrams
Entity Relationship Diagrams (ERD) 📊 are graphical representations of ER models. They use shapes to represent entities and lines to indicate relationships. ERDs make it easy to understand the overall structure and relationships of the database at a glance.
A simple ERD for our bookstore database might look like this:
Author -writes-> Book <-published by- Publisher
This indicates an author writes multiple books and each book is published by a publisher.
The Transformation: From ER Model to Relational Model
The ER model doesn't end with its creation. It's further transformed into a Relational Model, which forms the basis for creating physical databases. The conversion involves mapping entities to tables, attributes to columns and relationships to keys.
Careful analysis and well-execined conversion from an ER model to a relational model ensure a robust and efficient database, laying the groundwork for successful data science and business analytics. Remember, designing a database is like building a house. Without a solid blueprint, the house won't stand. Similarly, without a well-constructed ER model, a database could crumble under complexity.
So, the next time you think about databases, remember that it all starts with the humble ER model.
Class Sessions
1- Introduction
2- Models of data communication and computer networks: Analyse the models used in data communication and computer networks.
3- Hierarchical computer networks: Analyse the different layers in hierarchical computer networks.
4- IP addressing in computer networks: Set up IP addressing in a computer network.
5- Static and dynamic routing: Set up static and dynamic routing in a computer network.
6- Network traffic management and control: Manage and control network traffic in a computer network.
7- Network troubleshooting: Diagnose and fix network problems.
8- Introduction
9- Concepts and sources of big data.
10- Recommendation systems, sentiment analysis, and computational advertising.
11- Big data types: streaming data, unstructured data, large textual data.
12- Techniques in data analytics.
13- Problems associated with large data sets used in applied analytical models.
14- Approaches to visualize the output from an enforced analytical model.
15- Big data processing platforms and tools.
16- Performing simple data processing tasks on a big data set using tools
17- Introduction
18- Relational Database Management Systems: Analyze the concepts and architecture of a relational database management system.
19- Entity Relationship Model: Analyze the components of an entity relationship model.
20- Relational Model: Analyze relation, record, field, and keys in a relational model.
21- ER to Relational Model Conversion: Perform a conversion from an ER model to the relational model.
22- Functional Dependency: Analyze the concepts of closure sets, closure operation, trivial, non-trivial, and semi-trivial functional dependencies.
23- Normal Forms: Analyze the concepts of lossless, attribute-preserving, and functional-dependency-preserving decomposition, and first normal form.
24- Installation of Programming Languages and Databases: Install MySQL and phpMyAdmin and install Java and Python programming languages.
25- CRUD Operations: Perform create, read, update, delete (CRUD) operations in MySQL.
26- MySQL Operations: Perform MySQL operations using CONCAT, SUBSTRING, REPLACE, REVERSE, CHAR LENGTH, UPPER, and LOWER commands.
27- Aggregate Functions: Perform MySQL operations using count, group by, min, max, sum, and average functions.
28- Conditional Statements and Operators: Perform MySQL operations using not equal, not like, greater than, less than, logical AND, logical OR.
29- Join Operations: Perform MySQL operation.
30- Introduction
31- Historical development of databases: Analyze the evolution of technological infrastructures in relation to the development of databases.
32- Impact of the internet, the world-wide web, cloud computing, and e-commerce: Analyze the impact of these technologies on modern organizations.
33- Strategic management information system (MIS): Analyze the characteristics and impact of a strategic MIS.
34- Information systems for value-added change: Analyze how information systems can support value-added change in organizations.
35- Functionality of information communication technology: Analyze the functionality offered by information communication technology and its implications.
36- International, ethical, and social problems of managing information systems: Define the international, ethical, and social problems associated.
37- Security and legislative issues in building management information systems: Define the security and legislative issues related to building MIS.
38- Security and legislative issues in implementing management information systems: Define the security and legislative issues related to implementing MIS.
39- Security and legislative issues in maintenance.
40- Introduction
41- Ethical concepts in computing: Analyse common ethical concepts and theories in computing.
42- Laws and social issues in information technology: Analyse laws and social issues in areas including privacy, encryption, and freedom of speech.
43- Intellectual property and computer crime: Analyse the laws relating to trade secrets, patents, copyright, fair use and restrictions, peer-to-peer.
44- Data privacy: Define data privacy and analyse the types of data included in data privacy.
45- Ethical theories and the U.S. legal system: Analyse philosophical perspectives such as utilitarianism versus deontological ethics and the basics.
46- Ethical dilemmas in information technology: Apply ethical concepts and an analytical process to common dilemmas found in the information technology.
47- Impacts of intellectual property theft and computer crime: Analyse the impacts of intellectual property theft and computer crime.
48- Ethics in artificial intelligence (AI): Analyse the ethics in AI, including autonomous vehicles and autonomous weapon systems.
49- Ethics in robotics: Analyse the ethics in robotics, including robots in healthcare.
50- Introduction
51- Technologies involved in building a secure e-commerce site.
52- Common problems faced by e-commerce sites.
53- Requirements analysis and specification for an e-commerce project.
54- Writing a project proposal and creating a presentation.
55- Front-end development tools, frameworks, and languages.
56- Back-end development languages, frameworks, and databases.
57- Application of software development methodologies.
58- Creating a project report and user documentation.
59- Delivering structured presentations on the software solution.
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