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Metadata is data about data that provides information such as the structure, format, and characteristics of the data stored in a data warehouse. It is used in data warehouse architecture to facilitate data integration, data governance, and data lineage. Metadata helps users understand and manage the data in the data warehouse efficiently.

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Q: What is metadata what is its use in data warehouse architecture?
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Differences between metadata and attribute data?

Metadata describes the characteristics of data, such as its format, source, and creation date, while attribute data provides specific values and properties of the data, such as the size, color, or location. Metadata is essentially data about the data, providing context and information on how to interpret and use the data, while attribute data is the actual content or values within the dataset.


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.

Related questions

Differences between metadata and attribute data?

Metadata describes the characteristics of data, such as its format, source, and creation date, while attribute data provides specific values and properties of the data, such as the size, color, or location. Metadata is essentially data about the data, providing context and information on how to interpret and use the data, while attribute data is the actual content or values within the dataset.


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


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).


What is the purpose of data marts?

A Data Mart is a type of tool used in computing data. Data Warehouses, or data storage servers, use the Data Mart to ensure data is delivered to customers. It is also known as the "access layer" of the warehouse program.


Where actually you use meta data cleanup in Active Directory?

Metadata cleanup is used to remove the records and data of an crashed Domain Controller or an unsuccesful demotion of a Domain Controller. It is executed on a working domain controller using ntdsutil.


How can use web as a data warehouse?

You could start your own website or blog. You can keep many types of things in different accounts


What is Data Warehousing and Data Mining?

data warehouse A data warehouse is the main repository of an organization's historical data, its corporate memory. It contains the raw material for management's decision support system. The critical factor leading to the use of a data warehouse is that a data analyst can perform complex queries and analysis, such as data mining, on the information without slowing down the operational systems. data mining The development of computational algorithms for the identification or extraction of structure from data. This is done in order to help reduce, model, understand, or analyze the data. Tasks supported by data mining include prediction, segmentation, dependency modeling, summarization, and change and deviation detection. Database systems have brought digital data capture and storage to the mainstream of data processing, leading to the creation of large data warehouses.