Data warehousing terminology

  • What are the 4 keywords of data warehouse?

    A typical data warehouse has four main components: a central database, ETL (extract, transform, load) tools, metadata, and access tools.
    All of these components are engineered for speed so that you can get results quickly and analyze data on the fly..

A data mart or departmental mart is typically used to analyze a single subject area such as finance, or sales, or HR. Within a database a subject area groups 
A data warehouse is a collection of data primarily used for reporting and analysis. It's a way to provide business analysts and other users with a centralized repository of accurate, enterprise data from which to glean timely analytic insights that guide everyday business decisions.
In this chapter, we will discuss some of the most commonly used terms in data warehousing. Metadata. Metadata is simply defined as data about data.

What is a data warehouse?

A data warehouse is a database designed to enable business intelligence activities: it exists to help users understand and enhance their organization's performance

What is data warehousing without metadata?

In fact, without metadata, the data warehouse is considered futile – a big box without any valuable and meaningful information

Thus, from Programmers to Administrators to Testers, metadata is the key to data warehousing

OLAP expands to Online Analytical Processing

Data Warehousing - Terminologies

  • Metadata Metadata is simply defined as data about data. ...
  • Metadata Repository Metadata repository is an integral part of a data warehouse system. ...
Data warehouse, database, data lake, and data mart are all terms that tend to be used interchangeably.,×Terminologies related to data warehousing include:
  • Metadata: data about data.
  • Metadata Repository: an integral part of a data warehouse system.
  • Data Cube: helps represent data in multiple dimensions.
  • Data Mart: contains a subset of organization-wide data that is valuable to specific groups of people in an organization.
The terms data warehouse, database, data lake, and data mart are often used interchangeably.

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