SQL (Structured Query Language)

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SQL, or Structured Query Language, is a standard programming language designed for managing and manipulating relational databases. It provides a set of commands for performing various operations on databases, such as querying data, updating data, inserting data, and deleting data. SQL is used by developers, database administrators, and data analysts to interact with relational databases. It is not a programming language like Java or Python; instead, it is a domain-specific language specifically designed for working with structured data in relational database management systems (RDBMS). Popular relational database systems that use SQL include MySQL, PostgreSQL, SQLite, Microsoft SQL Server, and Oracle Database.If you are in the market for superclone Replica Rolex , Super Clone Rolex is the place to go! The largest collection of fake Rolex watches online!

SQL is used in a variety of applications and industries for managing and manipulating structured data in relational databases. It plays a crucial role in:

  1. Web Development: SQL is widely used in web development to interact with databases, storing and retrieving user data, managing content, and supporting dynamic websites.
  2. Database Administration: Database administrators use SQL to create, modify, and maintain database structures, ensuring efficient data organization and accessibility.
  3. Data Analysis and Business Intelligence: SQL is a key tool for data analysts and business intelligence professionals to query databases, extract insights, and generate reports for decision-making.
  4. Software Development: SQL is integrated into many software applications for tasks like data storage, retrieval, and management. Developers use SQL for backend database interactions.
  5. Finance and Banking: SQL is essential in the finance sector for managing transactions, customer information, and financial data securely and efficiently.
  6. Healthcare: SQL is employed in healthcare systems to manage patient records, store medical information, and support data-driven decision-making in medical research.
  7. E-commerce: SQL is used to handle product catalogs, customer orders, and inventory management in e-commerce platforms, ensuring seamless online transactions.
  8. Government and Public Services: SQL databases are utilized in government databases for managing citizen information, public records, and administrative tasks.
  9. Education: Educational institutions use SQL to manage student records, course information, and other administrative data.
  10. Telecommunications: SQL databases help manage vast amounts of customer data, billing information, and network configurations in the telecommunications industry.
  11. Human Resources: SQL is used for managing employee data, payroll, and other HR-related information within organizations.
  12. Logistics and Supply Chain: SQL databases facilitate efficient tracking of inventory, order processing, and logistics operations in supply chain management.
  13. Gaming: In the gaming industry, SQL databases store game-related data such as player profiles, scores, and game statistics.
  14. Research and Science: SQL is utilized in various scientific fields for managing research data, conducting experiments, and analyzing results.

Learning SQL is a valuable skill for anyone involved in working with data, whether as a developer, database administrator, data analyst, or business intelligence professional. It provides a powerful and standardized way to interact with and manage structured data in various applications and industries.

STRUCTURED QUERY LANGUAGE (SQL)

Chapter 1: Getting started with SQL :
  • Getting Started
  • Information Schema Examples
Chapter 2: Data Types :
  • CHAR(n)
  • DATE, DATETIME, TIMESTAMP, YEAR, and TIME
  • VARCHAR(255) -- or not
  • INT as AUTO_INCREMENT
  • Others
  • Implicit / Automatic casting
  • Introduction (numeric)
  • Integer Types
  • Fixed Point Types
  • Floating Point Types
  • Bit Value Type
Chapter 3: SELECT :
  • SELECT with DISTINCT
  • SELECT all columns (*)
  • SELECT by column name
  • SELECT with LIKE (%)
  • SELECT with CASE or IF
  • SELECT with Alias (AS)
  • SELECT with a LIMIT clause
  • SELECT with BETWEEN
  • SELECT with WHERE
  • SELECT with LIKE(_)
  • SELECT with date range
Chapter 4: NULL :
  • Uses for NULL
  • Testing NULLs
Chapter 5: Limit and Offset :
  • Limit and Offset relationship
Chapter 6: Creating databases :
  • Create database, users, and grants
  • Creating and Selecting a Database
  • MyDatabase
  • System Databases
Chapter 7: Using Variables :
  • Setting Variables
  • Row Number and Group By using variables in Select Statement
Chapter 8: Comment MySQL :
  • Adding comments
  • Commenting table definitions
Chapter 9: INSERT :
  • INSERT, ON DUPLICATE KEY UPDATE
  • Inserting multiple rows
  • Basic Insert
  • INSERT with AUTO_INCREMENT + LAST_INSERT_ID()
  • INSERT SELECT (Inserting data from another Table)
  • Lost AUTO_INCREMENT ids
Chapter 10: DELETE :
  • Multi-Table Deletes
  • DELETE vs TRUNCATE
  • Multi-table DELETE
  • Basic delete
  • Delete with Where clause
  • Delete all rows from a table
  • LIMITing deletes
Chapter 11: UPDATE :
  • Update with Join Pattern
  • Basic Update
  • Bulk UPDATE
  • UPDATE with ORDER BY and LIMIT
  • Multiple Table UPDATE
Chapter 12: ORDER BY :
  • Contexts
  • Basic
  • ASCending / DESCending
  • Some tricks
Chapter 13: Group By :
  • GROUP BY using HAVING
  • Group By using Group Concat
  • Group By Using MIN function
  • GROUP BY with AGGREGATE functions
Chapter 14: Joins :
  • Joins visualized
  • JOIN with subquery ("Derived" table)
  • Full Outer Join
  • Retrieve customers with orders -- variations on a theme
  • Joining Examples
Chapter 15: JOINS: Join 3 table with the same name of id. :
  • Join 3 tables on a column with the same name
Chapter 16: UNION :
  • Combining SELECT statements with UNION
  • Combining data with different columns
  • ORDER BY
  • Pagination via OFFSET
  • Combining and merging data on different MySQL tables with the same columns into unique
  • rows and running query
  • UNION ALL and UNION
Chapter 17: Arithmetic Operations :
  • Arithmetic Operators
  • Mathematical Constants
  • Trigonometry (SIN, COS)
  • Rounding (ROUND, FLOOR, CEIL)
  • Raise a number to a power (POW)
  • Square Root (SQRT)
  • Random Numbers (RAND)
  • Absolute Value and Sign (ABS, SIGN)
Chapter 18: String operations :
  • LENGTH()
  • CHAR_LENGTH()
  • HEX(str)
  • SUBSTRING()
  • UPPER() / UCASE()
  • STR_TO_DATE - Convert string to date
  • LOWER() / LCASE()
  • REPLACE()
  • Find element in comma separated list
Chapter 19: Date and Time Operations :
  • Date arithmetic
  • SYSDATE(), NOW(), CURDATE()
  • Testing against a date range
  • Extract Date from Given Date or DateTime Expression
  • Using an index for a date and time lookup
  • Now()
Chapter 20: Handling Time Zones :
  • Retrieve the current date and time in a particular time zone
  • Convert a stored `DATE` or `DATETIME` value to another time zone
  • Retrieve stored `TIMESTAMP` values in a particular time zone
  • What is my server's local time zone setting?
  • What time_zone values are available in my server?
Chapter 21: Regular Expressions :
  • REGEXP / RLIKE
Chapter 22: VIEW :
  • Create a View
  • A view from two tables
  • DROPPING A VIEW
  • Updating a table via a VIEW
Chapter 23: Table Creation :
  • Table creation with Primary Key
  • Basic table creation
  • Table creation with Foreign Key
  • Show Table Structure
  • Cloning an existing table
  • Table Create With TimeStamp Column To Show Last Update
  • CREATE TABLE FROM SELECT
Chapter 24: ALTER TABLE :
  • Changing storage engine; rebuild table; change file_per_table
  • ALTER COLUMN OF TABLE
  • Change auto-increment value
  • Renaming a MySQL table
  • ALTER table add INDEX
  • Changing the type of a primary key column
  • Change column definition
  • Renaming a MySQL database
  • Swapping the names of two MySQL databases
  • Renaming a column in a MySQL table
Chapter 25: Drop Table :
  • Drop Table
  • Drop tables from database
Chapter 26: MySQL LOCK TABLE :
  • Row Level Locking
  • Mysql Locks
Chapter 27: Stored routines (procedures and functions) :
  • Stored procedure with IN, OUT, INOUT parameters
  • Create a Function
  • Cursors
  • Multiple ResultSets
  • Create a function
Chapter 28: Indexes and Keys :
  • Create index
  • Create unique index
  • AUTO_INCREMENT key
  • Create composite index
  • Drop index
Chapter 29: Full-Text search :
  • Simple FULLTEXT search
  • Simple BOOLEAN search
  • Multi-column FULLTEXT search
Chapter 30: PREPARE Statements :
  • PREPARE, EXECUTE and DEALLOCATE PREPARE Statements
  • Alter table with add column
Chapter 31: MySQL Admin :
  • Atomic RENAME & Table Reload
  • Change root password
  • Drop database
Chapter 32: TRIGGERS :
  • Basic Trigger
  • Types of triggers
Chapter 33: Events :
  • Create an Event
Chapter 34: ENUM :
  • Why ENUM?
  • VARCHAR as an alternative
  • Adding a new option
  • NULL vs NOT NULL
Chapter 35: Clustering :
  • Disambiguation
Chapter 36: Partitioning :
  • RANGE Partitioning
  • LIST Partitioning
  • HASH Partitioning

By the end of this SQL course, you will have a solid understanding of how to interact with relational databases, design efficient database structures, and write effective SQL queries. These skills are valuable in various roles, including database administration, data analysis, software development, and more. Here's a breakdown of what you might learn:

  1. Database Fundamentals: Understand basic concepts like tables, records, fields, and relationships.
  2. SQL Basics: Learn the syntax and structure of SQL queries, focusing on the `SELECT` statement.
  3. Database Design: Gain knowledge about designing and structuring relational databases.
  4. Data Manipulation: Learn to insert, update, and delete data using DML statements.
  5. Data Querying: Master querying databases to extract specific information.
  6. Joins and Relationships: Work with multiple tables and establish relationships using various types of joins.
  7. Indexing and Optimization: Understand indexing and optimization techniques for improved performance.
  8. Data Aggregation: Explore aggregate functions for data analysis.
  9. Stored Procedures and Functions: Create and use stored procedures and functions for reusable code.
  10. Transaction Management: Learn about managing transactions using `COMMIT` and `ROLLBACK`.
  11. Security and Permissions: Gain insights into securing databases through user permissions.
  12. Views and Indexing: Create and use views for simplified data access, and understand the role of indexes.
  13. Subqueries and Nested Queries: Explore advanced querying techniques with subqueries and nested queries.
  14. Advanced Topics (Optional): Delve into advanced topics like triggers and user-defined functions, depending on the course.

Embarking on this SQL learning journey is not just about acquiring technical skills; it's about empowering yourself to navigate the data-driven world with confidence and precision. Your improved proficiency in SQL will undoubtedly elevate your professional standing and open doors to exciting possibilities. All the best!...

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