Database Management Systems

It is a set of extents allocated for a certain logical structure such as table.

The data of logical database structures such as tables and indexes are physically stored in the data files allocated for a database.

It writes modified blocks from the database buffer cache to the datafiles.

During the execution phase, RMAN sends the remote procedure calls to the target database and monitors their progress.

This logical storage structure usually facilitates security, performance or the availability of database objects such as tables and indexes.

The problem with this scheme is that updates of a committed transaction may not have made it to the backup site, when the backup site takes over processing.

This method is called to update a cache with content returned in the response.

Data design is the phase where data structures, such as files or database schemas, are defined and evaluated for their suitability to the application requirements.

A data warehouse is a subject-oriented, integrated, time-variant, and non-volatile collection of data. It is designed to support management decision-making by organizing data around key business subjects rather than specific applications.

A Database Management System (DBMS) is software designed to define, create, maintain, and control access to a database, ensuring data integrity and security.

Data inconsistency occurs when the same data exists in multiple places but is not updated uniformly. This leads to conflicting versions of the truth within a database system.

Field names are the identifiers used to label and describe the content stored within specific database fields. They provide the necessary context for what data is expected in that column.

Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity. By breaking tables into smaller, related units, it ensures each piece of data is stored in only one place.

SQL (Structured Query Language) is the standard programming language used to manage, query, and manipulate data within relational database management systems.

A data dictionary is a centralized repository of information about data such as meaning, relationships to other data, origin, usage, and format (data type and length).