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Data Warehouse

A data warehousing is defined as a technique for collecting and managing data from varied sources to provide meaningful business insights. It is electronic storage of a large amount of information by a business which is designed for query and analysis instead of transaction processing.

What is a data warehouse used for?

Data warehouses are used for analytical purposes and business reporting. Data warehouses typically store historical data by integrating copies of transaction data from disparate sources. Data warehouses can also use real-time data feeds for reports that use the most current, integrated information.

What are the main components of data warehouse?

The data warehouse architecture is based on a relational database management system server that functions as the central repository for informational data. Operational data and processing is completely separated from data warehouse processing. This central information repository is surrounded by a number of key components designed to make the entire environment functional, manageable and accessible by both the operational systems that source data into the warehouse and by end-user query and analysis tools. Read the full article for more details.

What is a data warehouse with an example?

A data warehouse essentially combines information from several sources into one comprehensive database. For example, in the business world, a data warehouse might incorporate customer information from a company’s point-of-sale systems (the cash registers), its website, its mailing lists and its comment cards.

Is Hadoop a data warehouse?

Hadoop is not an IDW. Hadoop is not a database. A data warehouse is usually implemented in a single RDBMS which acts as a centre store, whereas Hadoop and HDFS span across multiple machines to handle large volumes of data that does not fit into the memory.

What is the main purpose of a data warehouse?

A data warehouse is a federated repository for all the data collected by an enterprise’s various operational systems, be they physical or logical. Data warehousing emphasizes the capture of data from diverse sources for access and analysis rather than for transaction processing.

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