Data dictionary is a repository to store all information.
Meta data is data about data. It is data that defines other
data. The data dictionary can be metadata that describes
some information about the database.
it contains meta data A sub system that keeps track of the definitions of all data items in the database,relationships that exits between various data structures, indexes that are used too access data quickly,screen and report format definitions that may be used by various application programs.
One major advantage of meta data is that redundancy and inconsistencies can be identified more easily as the meta data is centralized. For example, the system catalog and data dictionary can help or guide developers at the conceptual or structural phase or for further maintenance.
Metadata provides information about a piece of data, such as its size, format, or author. Attributes, on the other hand, are characteristics or properties of an entity, object, or file that define its features or behavior. In essence, metadata describes the data itself, while attributes describe specific qualities or traits of an entity.
A data warehouse stores structured data from various sources for analysis and reporting. It typically includes historical data, organized into tables, aimed at supporting decision-making processes. Data warehouses are optimized for complex queries and data aggregation.
Two methods of secondary research are literature reviews, which involve analyzing existing studies and data, and meta-analysis, which involves pooling and analyzing data from multiple studies to draw overall conclusions.
Data dictionary is a set of meta-data which contains the definition and representation of data elements.It gives a single point of reference of data repository of an organization.Data dictionary lists all data elements but does not say anything about relationships between data elements.
The terms "meta data" and "metadata" are often used interchangeably, but technically "meta data" refers to data about data, while "metadata" specifically refers to structured information that describes, explains, or provides context for other data.
Metadata is information that describes other data, such as the title, author, and date of a document. "Meta data" is simply a misspelling or incorrect spacing of the term "metadata."
Data Dictionary means that data about data i.e, meta data. And Meta Data means that the properties about your data. Example: - By Right clicking on any file or folder and selecting the properties option. and the properties dialog box will open on your screen as properties is called Meta Data.
Metada data is data that describes other data.
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Meta data holds information regarding an webpage's title, related keywords, and a description. Few search engines place importance on meta data and Google places no importance, whatsoever, on meta data. However, properly using meta data CAN be helpful for search engine optimization. Furthermore, misusing meta data can have harmful effects, so it is important to learn what is and isn't acceptable to search engines when it comes to meta data. Keywords are an important part of meta data, so it is important to optimized meta keywords according to what lengths search engines allow in order to avoid "keyword stuffing."
meta data
Meta data is a just information of object which are existing with in the database.the data about the data called Meta data.meta data contained the information with in the database.
Meta data is data that describes how and when and by whom a particular set of data was collected at that time. It is also stated that it is essential for understanding information stored in certain data warehouses.
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