Introduction to databases

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A base]] is an essential component of Systems]], as it is a structured collection of data that is organized and stored for easy access and retrieval. The most commonly used type of database is a , which stores data in tables connected through relationships. , or Structured Query Language, is a programming language used to manage and manipulate data in a Relational Database. The is the software used to interact with the database, allowing users to perform various operations on the stored data.

Data and information are fundamental concepts in the realm of databases. Data refers to the raw and unprocessed facts, while information adds to data through organization and . The , , and interpretation of data greatly influence its value for . is crucial for reliable and meaningful information, as it ensures that the data is accurate, complete, and consistent.

is a fundamental task in managing databases, involving operations such as inserting, updating, deleting, and retrieving data. This processing helps in generating information and from the data. Knowledge, derived from processed data and information, represents an understanding of patterns, relationships, and insights.

In addition to Relational Databases, there are other types of databases that cater to specific needs. s store data as objects, while s focus on relationships between data elements. s specialize in handling data with a time component, whereas s store data across multiple interconnected systems. s provide flexibility in handling unstructured and semi-structured data, while s store data in a plain text file using s to separate s and s.

A is designed specifically to handle spatial data related to geographic objects and their relationships. In contrast, an stores data in main memory for faster access and processing compared to disk-based databases. is the process of creating and maintaining multiple copies of the same database, ensuring data availability and fault tolerance. is the technique of dividing a database into multiple smaller pieces, improving performance and scalability by distributing the data across multiple storage devices.

Keywords

in-memory database | decision making | [[data | graph database | knowledge | record | delimiter | data processing | database management system (dbms) | field | spatial database | flat file database | data quality | value | nosql database | replication | object-oriented database | distributed database | [[information | relevance | interpretation | accuracy | time-series database | sql | relational database | data partitioning |