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However, the means to retrieve and analyze data, to extract, transform, and load data, and to manage the data dictionary are also considered essential components of a data warehousing system.
Many references to data warehousing use this broader context.
In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis, and is considered a core component of business intelligence.
uses staging, data integration, and access layers to house its key functions.
The sources could be internal operational systems, a central data warehouse, or external data.
Denormalization is the norm for data modeling techniques in this system.
Predictive analysis is different from OLAP in that OLAP focuses on historical data analysis and is reactive in nature, while predictive analysis focuses on the future.
Online analytical processing (OLAP) is characterized by a relatively low volume of transactions.
A data mart is a simple form of a data warehouse that is focused on a single subject (or functional area), hence they draw data from a limited number of sources such as sales, finance or marketing.
Data marts are often built and controlled by a single department within an organization.
Normalization is the norm for data modeling techniques in this system.
Predictive analytics is about finding and quantifying hidden patterns in the data using complex mathematical models that can be used to predict future outcomes.