Meta data refers to data about data. For example a webpage may contain data about the way it has been constructed, the language used, the tools used to create it. This information allows a web browser to make better use of the site but may not be of actual use to the intended audience.
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.
Data about data are called metadata. See the related question "What are metadata?" for more details.
Data definition is the term used to describe expected data value.
the three types of data flow are: simplex,half duplex and full duplex
The key difference between floating point and integer data types is how they store and represent numbers. Integer data types store whole numbers without any decimal points, while floating point data types store numbers with decimal points. Integer data types have a fixed range of values they can represent, while floating point data types can represent a wider range of values with varying levels of precision. Floating point data types are typically used for calculations that require decimal precision, while integer data types are used for whole number calculations.
Meta data, overall, can hold a huge amount of information about a website. However, the three most important types of meta data are: Meta keywords (the keywords that describe what a page is about) Meta Title (the page's title) Meta Description (a full, but short description of a webpage.)
Metada data is data that describes other data.
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.
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.
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.
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meta data can be define as the data about data....data is the known facts which can be recorded and altered...and the info. about the data is called meta data...example :-Suppose in a student table student name,age,sex,class,subject,stream all are the data of the student table and the data about these data(name,age,sex, etc...) like what type of data whether it is a integer or string or char and what is the range like age should be with in o-20 like the all are called Meta Data.......
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.