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Differences between metadata and attribute data?
Metadata is the data that describes information: language, who it is for, the source etc. Attribute data is composed of the attribute name and attribute value for example: "Color=red" where color is the attribute name and red is the attribute value.
Use of data dictionary in a dbms?
A data dictionary in a DBMS is a centralized repository that stores metadata and information about the database, such as data types, field lengths, relationships, and constraints. It helps in maintaining consistency and integrity of the database by providing a reference for developers, administrators, and users to understand the structure and content of the database. Additionally, it assists in data quality management, helps in data governance, and supports database documentation and maintenance tasks.
Why the data dictionary is sometimes called the database designer's database?
The data dictionary is sometimes called the database designer's database because it stores metadata about a database system's structure, constraints, and definitions. Database designers use this centralized repository to manage information about data elements, relationships, and properties, aiding in the design, development, and maintenance of databases. It serves as a valuable resource for understanding and documenting the database schema for efficient management and usability.
What are the two classifications of storage facilities?
The two classifications of storage facilities are primary storage and secondary storage. Primary storage refers to the internal memory of the computer, such as RAM, that stores data temporarily for immediate access by the CPU. Secondary storage, like hard drives and solid-state drives, stores data permanently for long-term use and retrieval.
Data that has been summarized otherwise manipulated for use in decision making is called?
Processed data.
What should metadata tell you about the data?
Metadata should provide information about the data, such as its source, format, structure, and meaning, to help users understand and use the data effectively.
Differences between metadata and attribute data?
Metadata is the data that describes information: language, who it is for, the source etc. Attribute data is composed of the attribute name and attribute value for example: "Color=red" where color is the attribute name and red is the attribute value.
What is the difference between meta data and data?
Metadata is data that provides information about other data. It describes the characteristics of the data, such as its format, structure, and context. Data, on the other hand, refers to the actual information or content that is being described by the metadata. In simple terms, metadata is data about data.
What is metadata and can you provide an example to illustrate its use?
Metadata is data that describes other data. It provides information about a particular item's content, such as its title, author, date created, and file size. An example of metadata is the information displayed on a music file, including the song title, artist name, album name, and genre.
What are benefits of data warehouse?
One of the biggest benefits is that you can archive your data to a data warehouse. This can keep your main "production" database smaller which can provide some performance benefits. Also you can use the data warehouse to run complex queries and data-mining without adverse effects on the performance of your "production" application.
What is the use of data?
In computing, a data warehouse (DW) is a database used for reporting and analysis. The data stored in the warehouse is uploaded from the operational systems. The data may pass through an operational data store for additional operations before it is used in the DW for reporting.A data warehouse maintains its functions in three layers: staging, integration, and access. Staging is used to store raw data for use by developers. The integration layer is used to integrate data and to have a level of abstraction from users. The access layer is for getting data out for users.This definition of the data warehouse focuses on data storage. The main source of the data is cleaned, transformed, catalogued and made available for use by managers and other business professionals for data mining, online analytical processing, market research and decision support (Marakas & O'Brien 2009). However, the means to retrieve and analyze data, to extract, transform and load data, and to manage the data dictionary are also considered essential components of a data warehousing system. Many references to data warehousing use this broader context. Thus, an expanded definition for data warehousing includes business intelligence tools, tools to extract, transform and load data into the repository, and tools to manage and retrieve metadata.
What do you mean by partioning in datawarehouse?
Data warehouse is a large repository of data. The data may or may not be of any use. Partitioning in Data warehouse can be done by forming clusters and then forming groups.Partitioning in datawarehouse can be done by forming clusters. Partitioning can be done on the basis of relation between the data.
What is information that people use to support their decision making efforts?
data warehouse
What is information that people use to support their decision-making efforts?
data warehouse
How can I disable metadata on photos?
To disable metadata on photos, you can use photo editing software or apps to remove or strip the metadata from the image file. This process typically involves selecting the option to remove metadata or EXIF data from the photo before saving or sharing it. This helps protect your privacy by preventing others from accessing information such as the date, time, location, and camera settings associated with the photo.
What is the use of data-warehouse in e-commerce applications?
A data warehouse is a logical collection of information gathered from many different operational databases used to create business intelligence that supports business analysis activities and decision making tasks. A data warehouse is a repository of an organization's electronically stored data. Data warehouses are designed to facilitate reporting and analysis.
What is internal cache information?
A cache is a data store, thus "internal cache information" is metadata relating to a data storage facility that is used solely by a system. That is, a data store that is not intended for user consumption (internal use only).
