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Online Data Warehouses

Online data warehouses are centralized storage and information systems that permit companies to discover insights and aid in decision-making through business intelligence. They store information that has been extracted converted, loaded, and transformed (ETL) from various sources, including internal operational databases, customer-interface applications like marketing and sales, and external partner systems.

They serve as a single source of truth, centralizing information in a stable, non-volatile environment that is accessible to authorized employees. A data warehouse can be used to support online analytical processing (OLAP), which allows users to perform multidimensional analysis of data quickly and efficiently. A typical warehouse is several petabytes.

Data warehouse tools are software components that facilitate operations on an extensive dataset, such as taking, reading, and transfer. Xplenty is a well-known example such as Amazon Redshift, Teradata and IBM Infosphere.

A data warehouse will help businesses make more informed decisions faster by removing the dependence on intuitions or incomplete data, or slow and inefficient systems. Additionally, it provides the capability to compare different time periods and spot trends, allowing decision-makers to make more confident their choices. Data warehousing is an essential tool for businesses in every sector, as it allows to improve their campaigns, reduce the chance of churn, boost revenue, and much more.

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