Data warehouse schema examples

  • What are the 3 types of data warehouse schema?

    Storage UsageHigher disk space due to data redundancyLower disk space due to limited data redundancyDesign LimitationsOne Fact Table only, no sub-dimensionsOne Fact Table only, multiple sub-dimensions are permitted.

  • What are the examples of data warehouse system?

    Some popular data warehouse tools are Xplenty, Amazon Redshift, Teradata, Oracle 12c, Informatica, IBM Infosphere, Cloudera, and Panoply..

  • What is an example of a galaxy schema?

    An example of a Galaxy schema would be a data warehouse that contains multiple fact tables and dimension tables, organized into a set of related star schemas.
    For example, a retail company might have one star schema for sales data, another for inventory data, and yet another for customer data..

  • An example of a Galaxy schema would be a data warehouse that contains multiple fact tables and dimension tables, organized into a set of related star schemas.
    For example, a retail company might have one star schema for sales data, another for inventory data, and yet another for customer data.
  • Sales price, sale quantity, distant, speed, weight, and weight measurements are few examples of fact data in star schema.
    Often, A Star Schema having multiple dimensions is termed as Centipede Schema.
    It is easy to handle a star schema which have dimensions of few attributes.May 8, 2023
Star, galaxy, and snowflake schema are types of warehouse schema that describe different logical arrangements of data. Also known as multi-dimension schemas, these schemas define rules for how these data warehouses manage the names, descriptions, associated data items, and aggregates within a data warehouse.
Schema is a logical description of the entire database. It includes the name and description of records of all record types including all associated 

What are the different data warehouse modeling techniques?

We saw three different data warehouse modeling techniques, the star schema, the snowflake schema, and the fact constellation schema

Each one has its pros and cons

Your use case will let you know how much the cons of one schema impact your need

You will have to keep future requirements in mind before choosing

What is a schema in a data warehouse?

Schema is a logical description of the entire database

It includes the name and description of records of all record types including all associated data-items and aggregates

Much like a database, a data warehouse also requires to maintain a schema

What is the difference between a database and a data warehouse?

It includes the name and description of records of all record types including all associated data-items and aggregates

Much like a database, a data warehouse also requires to maintain a schema

A database uses relational model, while a data warehouse uses Star, Snowflake, and Fact Constellation schema


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