Tag: Relational

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ASIN ‏ : ‎ 1491951737
Publisher ‏ : ‎ O’Reilly Media; 1st edition (January 26, 2016)
Language ‏ : ‎ English
Paperback ‏ : ‎ 447 pages
ISBN-10 ‏ : ‎ 9781491951736
ISBN-13 ‏ : ‎ 978-1491951736
Item Weight ‏ : ‎ 1.57 pounds
Dimensions ‏ : ‎ 7 x 0.91 x 9.19 inches

In the world of databases, understanding key terms and concepts is crucial for effectively managing and querying data. The new relational database dictionary aims to provide a comprehensive guide to help you navigate the complex world of relational databases.

Here are some key terms and concepts that you should be familiar with:

1. Table: A table is a collection of related data organized in rows and columns. Each row represents a record, while each column represents a specific attribute or field.
2. Primary Key: A primary key is a unique identifier for each record in a table. It ensures that each record is distinct and can be easily referenced.
3. Foreign Key: A foreign key is a field in a table that links to the primary key in another table. It establishes a relationship between two tables.
4. Index: An index is a data structure that improves the speed of data retrieval by allowing quick access to specific rows in a table.
5. Normalization: Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity.
6. SQL (Structured Query Language): SQL is a programming language used to interact with relational databases. It allows users to query, insert, update, and delete data.
7. Join: A join is a SQL operation that combines rows from two or more tables based on a related column between them.
8. ACID properties: ACID (Atomicity, Consistency, Isolation, Durability) properties are a set of principles that ensure data integrity and reliability in a database transaction.

   Examples:

9. Creating a table in SQL:

   
   CREATE TABLE employees (<br />
   emp_id INT PRIMARY KEY,<br />
   emp_name VARCHAR(50),<br />
   emp_dept VARCHAR(50)<br />
   );<br />
   ```<br />
   <br />

10. Adding a foreign key in SQL:

    
    ALTER TABLE employees<br />
    ADD CONSTRAINT fk_dept<br />
    FOREIGN KEY (emp_dept)<br />
    REFERENCES departments(dept_id);<br />
    ```<br />
    <br />

11. Performing a join in SQL:

    
    SELECT e.emp_id, e.emp_name, d.dept_name<br />
    FROM employees e<br />
    JOIN departments d ON e.emp_dept = d.dept_id;<br />
    ```<br />
    <br />
    By familiarizing yourself with these terms and concepts, you'll be better equipped to work with relational databases and optimize your data management strategies. Stay tuned for more updates and examples from the new relational database dictionary!

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