Database Management Systems

This data model in DBMS organises data into a structure, which appears as a tree.

This is the denormalization technique in DBMS in which the database table is split by rows that reduces the number of records per table and hence, drives the performance.

This is a standard in DBMS environment that specifies the process of storing the data into network database and retrieving the data from network database.

A set of values (carrier set) and operations on those values is called Abstract Data type (ADT). Example: For Boolean ADT carrier set is {True, False} and negation, conjunction, etc. are operations on it.

This model comprises a set of rules according to which databases can be constructed.

This physical design structure comprises  one or more data files, which are physical structures with the operating system one is using.

Data modelling is the process of modelling and formalising data requirements in an intrinsic part of the database design process.

Integrity constraints are used to enforce business rules associated with one's database and to prevent having invalid information in the table.

Data partitioning means delibrate splitting of a table and its index data into manageable parts.

This task in data transformation includes a large variety of rudimentary conversions of single fields for two primary reasons; one to standardise among the data extractions from disparate source systems, and the other to make the fields usable and understandable to the users.

B-tree indexes are most commonly used in a data warehouse to index unique or near-unique keys.

Data cube allows data to be modelled and viewed in multiple dimensions.

Data quality is the state of completeness, validity, consistency, timeliness and accuracy that makes data appropriate for a specific use.

Bitmap indexes are widely used in data warehousing environment, which typically have large amounts of data and ad hoc queries, but a low level of concurrent DML transactions.

This task is the rearrangement and simplification of individual fields to make them more useful for the data warehouse environment.