Data warehouse: Practice of hierarchical structure of data warehouse in banking industry

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One 、Why? Why do you want to layer the data warehouse

Since the big data platform hadoop And after its technology caught fire , Whether it's government or enterprise 、 Private enterprises or various financial institutions , There is a big data technology transformation 、 Data warehouse reconfiguration 、 Intelligent data analysis 、AI Such as a series of black technology and high on the upsurge . Actually , After transforming big data technology , Product marketing 、 Risk management 、 Data analysis 、 Management decision-making and other core demands of enterprises can be found in everything ？ The core of enterprise data management —— Data warehouse should be constructed in what form ？ To answer these questions , We must start by understanding the nature and architecture of data warehouse .

Data warehouse , By the father of the data warehouse Bill Inmon stay 1991 Published in 2002 “Building the Data Warehouse” Defined and widely accepted —— Subject oriented 、 Integrated 、 Relatively stable 、 A collection of data reflecting historical changes , Used to support management decisions . By definition , The key words of data warehouse are topic oriented 、 Set