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Database Terms And Concepts
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Sep 21, 2024
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Database Terms And Concepts
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Ebin Manuval
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Certainly! Here are some important database terms and concepts:
1. **Database:** A structured collection of data that is organized and stored for efficient retrieval, manipulation, and management.
2. **Table:** A fundamental unit of data storage in a relational database. Tables consist of rows and columns where each row represents a record and each column represents a field.
3. **Row:** Also known as a record or tuple, it's a single instance of data stored in a table.
4. **Column:** Also called a field, it's a single data element within a table. Columns represent attributes of the data.
5. **Primary Key:** A unique identifier for each record in a table. It ensures the uniqueness of rows and enables efficient retrieval of specific records.
6. **Foreign Key:** A field that establishes a link between two tables by referencing the primary key of another table. It maintains referential integrity and enforces relationships.
7. **Index:** A data structure that improves the speed of data retrieval operations on a database table. It stores a subset of the data in a more compact and efficient form.
8. **Normalization:** The process of organizing data in a relational database to eliminate redundancy and improve data integrity. It involves breaking down tables into smaller, related tables.
9. **Denormalization:** The process of intentionally introducing redundancy in a database to improve performance by reducing the need for complex joins and increasing data retrieval speed.
10. **Query:** A request for data from a database based on certain conditions. SQL (Structured Query Language) is commonly used to perform queries.
11. **Join:** A database operation that combines rows from two or more tables based on a related column.
12. **Schema:** A logical structure that defines the organization of data in a database. It includes tables, columns, data types, relationships, and constraints.
13. **ACID:** A set of properties (Atomicity, Consistency, Isolation, Durability) that ensure the reliability of database transactions.
14. **Transaction:** A sequence of one or more database operations that are treated as a single unit of work. Transactions ensure data integrity and consistency.
15. **NoSQL Database:** A type of database designed for unstructured or semi-structured data. It provides flexible schema and is suitable for large-scale and distributed systems.
16. **Relational Database Management System (RDBMS):** Software that manages and maintains relational databases. Popular examples include MySQL, PostgreSQL, and Oracle.
17. **Data Warehousing:** The process of collecting, managing, and analyzing large sets of data from different sources to support business intelligence and decision-making.
18. **Data Mining:** The process of discovering patterns, trends, and insights from large datasets using techniques from statistics, machine learning, and database systems.
19. **Backup and Recovery:** Strategies and processes to create copies of data for safekeeping and to restore data in case of accidental loss, corruption, or system failures.
20. **Big Data:** Extremely large and complex datasets that require specialized tools and techniques for storage, processing, and analysis.
These are just a few of the many terms and concepts related to databases. Understanding these concepts is crucial for effectively working with and managing database systems.
VydorScope
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Sep 25, 2024
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