MySQL Operations: Perform MySQL operations using CONCAT, SUBSTRING, REPLACE, REVERSE, CHAR LENGTH, UPPER, and LOWER commands.

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MySQL Operations: Perform MySQL operations using CONCAT, SUBSTRING, REPLACE, REVERSE, CHAR LENGTH, UPPER, and LOWER commands.



Imagine a scenario where you are tasked with handling a vast amount of text data in a MySQL database. You have a wide range of tasks to perform such as merging strings, extracting certain parts of a string, replacing characters, and even changing the case of the text. Sounds daunting? Not really, if you are conversant with the power of SQL string functions!

MySQL String Functions: A Powerful Toolset

MySQL string functions are a suite of commands that let you manipulate and play around with strings. They are handy and powerful tools in your SQL toolkit, helping you handle a variety of data manipulation scenarios with ease.

To illustrate, let's take a deep dive into some of these functions and understand their usage through examples.

CONCATenating Strings - Seamlessly Merging Data

Imagine a database where the first and last names of people are stored in separate columns. Now, you want to display the full name in your report. That's where the CONCAT() function comes in handy!

SELECT CONCAT(first_name, ' ', last_name) AS 'Full Name' FROM people;


This command combines the first and last names, separated by a space.

The SUBSTRING Function - Extracting the Essence

Sometimes, you only need a part of a string. For example, extracting the domain name from an email address. SUBSTRING() to the rescue!

SELECT SUBSTRING(email, INSTR(email, '@') + 1) AS 'Domain' FROM users;


This extracts everything after the '@' symbol in each email address.

REPLACE it! - Making Adjustments

There may be times when you need to replace certain characters in a string. The REPLACE() function allows you to do just that!

SELECT REPLACE(email, '@', ' at ') AS 'Safe Email' FROM users;


This command replaces the '@' character with ' at '.

Going in REVERSE - For a Different Perspective

The REVERSE() function reverses the order of the characters in a string, which can be used in various scenarios, including creating reversed indexes.

SELECT REVERSE(first_name) FROM people;


Measuring with CHAR LENGTH - Keep Count!

When it comes to limiting the length of a string or understanding its size, CHAR_LENGTH() is your tool.

SELECT CHAR_LENGTH(first_name) AS 'Length' FROM people;


This returns the length of the first name for each person.

Using UPPER and LOWER - Case Matters

Finally, the UPPER() and LOWER() functions can be used to convert a string to uppercase or lowercase respectively.

SELECT UPPER(first_name), LOWER(last_name) FROM people;


This will convert the first names to upper case and the last names to lower case.

In conclusion, SQL string functions are indispensable tools when dealing with data in a MySQL database. They allow data scientists and analysts to perform various data manipulations with ease and efficiency.

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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 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