Wednesday 29 November 2023

Relational database management systems (RDBMS)


Sure, here is a summary of the lecture on relational databases and their role in data warehouses:

What are relational databases?

Relational databases are a type of database that stores data in tables, which are also called relations. Tables are made up of rows and columns, and each row represents a single record. Relational databases use keys to uniquely identify rows and to establish relationships between tables.

What is SQL?

SQL, or Structured Query Language, is the language used to query and manipulate data in relational databases. It is a declarative language, meaning that you tell SQL what you want to do, and it will figure out how to do it. SQL is a powerful language that can be used to perform a wide variety of tasks, such as selecting, inserting, updating, and deleting data.

Benefits of relational databases

Relational databases have several benefits, including:

  • Data integrity: Relational databases enforce data integrity rules, such as ensuring that primary keys are unique and that foreign keys reference valid values. This helps to ensure that the data is accurate and consistent.

  • Data accessibility: Relational databases provide a standard way to access and manipulate data, which makes it easy for different applications to share data.

  • Scalability: Relational databases can be scaled to support a large number of users and a large amount of data.

Role of relational databases in data warehouses

Relational databases are the most common type of database used for data warehouses. This is because they are well-suited for storing and managing large amounts of structured data. Relational databases also provide a powerful query language (SQL) that makes it easy to extract and analyze data.

Relational database management systems (RDBMS)

Relational database management systems (RDBMS) are software systems that manage relational databases. They provide a variety of features, such as data storage and retrieval, data security, and data integrity. Some popular RDBMSs include Oracle, Microsoft SQL Server, PostgreSQL, and MySQL.

In-memory databases

In-memory databases are a type of database that stores data in memory instead of on disk. This can provide significant performance improvements, as data can be accessed much faster from memory than from disk. However, in-memory databases are typically more expensive than disk-based databases, and they are not as well-suited for storing large amounts of data.

I hope this summary is helpful!

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