Data warehousing definition

  • Data warehouse companies

    A database stores the current data required to power an application.
    A data warehouse stores current and historical data from one or more systems in a predefined and fixed schema, which allows business analysts and data scientists to easily analyze the data..

  • Data warehouse companies

    In general, data warehouses have large data volumes and large amounts of data redundancy with lots of repeating values.
    This allows database compression to be very effective and enables very high data compression ratios (i.e. the ratio between the uncompressed size and compressed size)..

  • How do you define data warehouse?

    A data warehouse, also called an enterprise data warehouse (EDW), is an enterprise data platform used for the analysis and reporting of structured and semi-structured data from multiple data sources, such as point-of-sale transactions, marketing automation, customer relationship management, and more..

  • How is data warehousing done?

    The Data warehouse works by collecting and organizing data into a comprehensive database.
    Once the data is collected, it is sorted into various tables depending on the data type and layout..

  • What is data warehousing types?

    Once in the data warehouse, the data is ingested, transformed, processed, and made accessible for use in decision-making.
    The three main types of data warehouses are enterprise data warehouse (EDW), operational data store (ODS), and data mart..

  • What is the definition of data warehousing and data mining?

    Data warehousing is a method of organizing and compiling data into one database, whereas data mining deals with fetching important data from databases.
    Data mining attempts to depict meaningful patterns through a dependency on the data that is compiled in the data warehouse..

How does a data warehouse differ from an operational database?

Data warehouses also differ from operational databases

While a data warehouse stores data from multiple sources for analysis, an operational database is generally used to collect, process and store data from a single system or application to support ongoing business processes

What is the difference between data warehouse and data mining?

A data warehouse is programmed to aggregate structured data over time

For example, a database might only have the most recent address of a customer, while a data warehouse might have all the addresses of the customer for the past 10 years

Data mining relies on the data warehouse


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