OLAP (Online Analytical Processing) is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view.
Data Warehouse TypesInmon, Bill
Learn about data warehouses, their types, and key features. Discover how they streamline data management for better insights and improved business outcomes.
update, organize, store and analyze data. In data modeling, key business concepts are mapped to available and prospective data so that the relationships between the concepts and the way data is warehoused can be visualized. The end result of data modeling is to give the business efficient...
Different types ofData Warehouse isnothing but the implementation of a Data Warehouse in various ways such as, namely Data Marts, Enterprise Data Warehouse &Operational Data Stores, which allows the Data Warehouse to be the vital module for Business Intelligence (BI) systems, by performing the pro...
Data modeling (data modelling) is the process of creating a data model for the data to be stored in a database.
Data cleansing Centralization Keymapping Transaction Control Multi-Domain support Information distribution Global synchronization Data Modeling This is the process of adapting your data to the format needed for storage in the company's database. Data management tools in this category allow you to generate...
Here are some of the key milestones: 1980s: Bill Inmon and Ralph Kimball developed foundational concepts like subject-oriented and dimensional data modeling. 1990s: Business intelligence tools and ERP systems increased data warehouse adoption. 2000s: Massively parallel processing (MPP) systems improved...
Database replication involves storing copies of a database in different locations. Learn how it works and how to get started.
The database or spatial data warehouse must contain a spatial data type to store spatial data. Many automatically include spatial data types. Others require some configuration or an installation to use a spatial data type.