Online Data Warehouses
Online data warehouses are central repository and information systems that allow businesses to gather insights and aid in decision-making through business intelligence. They store data that has been extracted transformed, loaded, and transformed (ETL) from a variety of sources including internal operational databases, applications that interact with customers, such as marketing and sales; as well as external partner systems.
They function as a single point of truth, centralizing data in a non-volatile system that is accessible to employees with authorization. Data warehouses support online analytical processing (OLAP), which enables users to perform multidimensional analysis of data quickly and efficiently. A typical warehouse can be a few petabytes.
Data warehouse tools are software components that facilitate operations on a vast data set, like gathering, reading and transferring. Popular examples include Xplenty, Amazon Redshift, Teradata, Informatica, and IBM Infosphere.
Data warehouses enable businesses to make better decisions by removing the need to rely on intuition or insufficient data. It also eliminates the necessity for inefficient and slow systems. It also lets decision makers make more informed decisions by comparing different times. Data warehousing is an essential tool for businesses of all sector, since it helps to improve their campaigns, decrease turnover, increase revenue and more.
