CRUD Operations: Perform create, read, update, delete (CRUD) operations in MySQL.

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CRUD Operations: Perform create, read, update, delete (CRUD) operations in MySQL.


Diving right into the world of SQL and data manipulation, CRUD operations (Create, Read, Update, Delete) are fundamental to any data interaction task. In the realm of databases, these operations are the backbone to managing data effectively. MySQL, a popular open-source relational database management system (RDBMS) widely used in the industry, is a perfect platform to understand and implement these operations.

The Cornerstone of Data Interaction: CRUD Operations ๐Ÿ’ป

The acronym CRUD stands for Create, Read, Update, and Delete. These are the four basic operations performed on data in any database system. In the context of MySQL, these operations translate to SQL commands that allow user interaction with the data stored in a relational database.

Create Operation: Building the Foundation ๐Ÿ—๏ธ

The Create operation corresponds to the SQL command INSERT. This operation is used to create new records (rows) in a table. The basic syntax is:

INSERT INTO table_name (column1, column2, column3, ...)

VALUES (value1, value2, value3, ...);


For instance, let's assume we have a table employees with columns id, name, and position. To add a new employee to this table, we would use the following command:

INSERT INTO employees (id, name, position)

VALUES (1, 'John Doe', 'Data Scientist');


Read Operation: Getting to Know Your Data ๐Ÿ•ต๏ธ

The Read operation corresponds to the SQL command SELECT. This operation is used to retrieve data from one or more tables. The basic syntax is:

SELECT column1, column2, ...

FROM table_name;


For example, to retrieve all employees from the employees table, we would use the following command:

SELECT * FROM employees;


Update Operation: Keeping Your Data Current ๐Ÿ”„

The Update operation corresponds to the SQL command UPDATE. This operation is used to modify existing records in a table. The basic syntax is:

UPDATE table_name

SET column1 = value1, column2 = value2, ...

WHERE condition;


For instance, if we wanted to change the position of 'John Doe' in the employees table, we would use the following command:

UPDATE employees

SET position = 'Senior Data Scientist'

WHERE name = 'John Doe';


Delete Operation: Spring Cleaning Your Data ๐Ÿงน

Finally, the Delete operation corresponds to the SQL command DELETE. This operation is used to remove records from a table. The basic syntax is:

DELETE FROM table_name WHERE condition;


For example, to remove 'John Doe' from the employees table, we would use the following command:

DELETE FROM employees

WHERE name = 'John Doe';


In essence, CRUD operations are the building blocks of data management, and mastering them is essential for anyone seeking to work with databases. Whether you're a budding data scientist, a seasoned developer, or an IT professional, understanding CRUD operations in MySQL will provide you with a strong foundation for managing and manipulating data.

Remember, though, that with great power comes great responsibility. Always be cautious when performing CRUD operations, especially Update and Delete, as they can permanently alter or remove your data.

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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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