Making good meta data then the information you should provide in anything you want to place on the internet should consist of the following to make it good to be searchable on the internet; who, where what and when.
Metada data is data that describes other data.
Making good meta data then the information you should provide in anything you want to place on the internet should consist of the following to make it good to be searchable on the internet; who, where what and when.
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.
Some words that begin with the prefix "meta" include metamorphosis, metadata, metaphor, and metacognition.
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.
Metadata is data that provides information about other data, such as the structure, format, and relationships of data elements. A data dictionary, on the other hand, is a centralized repository that defines and describes the data elements within a database, including their definitions, attributes, and relationships. In summary, metadata is broader and encompasses various types of information about data, while a data dictionary specifically focuses on defining and documenting the data elements within a database.
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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.