Data warehousing domain

  • What are examples of data domains?

    Data domains can include customer data, product data, supplier data, location data and more.
    Each domain requires unique management and governance to ensure data accuracy, consistency and completeness across the enterprise..

  • What comes under data warehousing?

    A typical data warehouse often includes the following elements: A relational database to store and manage data.
    An extraction, loading, and transformation (ELT) solution for preparing the data for analysis.
    Statistical analysis, reporting, and data mining capabilities..

  • What is data warehouse domain?

    A data warehouse, or enterprise data warehouse (EDW), is a system that aggregates data from different sources into a single, central, consistent data store to support data analysis, data mining, artificial intelligence (AI), and machine learning..

  • What is domain in data warehouse?

    Data domain (database management)
    From a database management point of view, or better yet, a data modeling point of view, a data domain represents the collection of values that a data element may contain..

  • A data domain is a specific category of data, such as customer data, supplier data, product data or location data.
    In multidomain master data management, these different data domains are brought together into a single, unified view of the organization's data.
  • Here, a data domain is "a logical grouping of items of interest to the organization, or areas of interest within the organization".
    You can think of data domains as high-level categories of data for the purpose of assigning accountability and responsibility for the data.
  • In data management and database analysis, a data domain is the collection of values that a data element may contain.
    The rule for determining the domain boundary may be as simple as a data type with an enumerated list of values.
Domain in data warehouse is a collection of data that represents a specific subject area such as sales, marketing, finance, manufacturing, etc. It is important 
Domain in data warehouse is a collection of data that represents a specific subject area such as sales, marketing, finance, manufacturing, 

What is a data lake & data warehouse?

A data warehouse can pull data from multiple databases to understand relationships and trends across the organization’s data

A data lake can be an interim solution for the inexpensive storage of large amounts of disparate data formats or for machine learning purposes

A domain in data warehousing is a collection of data that is related to a specific subject, such as a customer or a product. Domains can be used to organize data warehouses into manageable sections, and they can be used to limit access to data to only those users who need it.

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