data warehouse dimension and fact tables

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SSIS: Three ways to implement slowly changing dimension slowly changing dimensions in the Data Warehouse

On the theoretical concept of slowly changing Dimension slowly changing dimension see Data Warehouse Series-Slow slowly changing dimension (slowly changing Dimension) common three types and prototype design This article summarize

Use the java date class to generate a data warehouse dimension table

Use the java date class to generate a data warehouse dimension table Use the java date class to generate a data warehouse dimension table Date class: Returns the number of milliseconds of a relative date. Accurate to milliseconds,

Generating a Data Warehouse dimension table using the Java date class

Generating a Data Warehouse dimension table using the Java date classDate class:The most basic date-time class that returns the number of milliseconds for a relative date. Accurate to milliseconds, but does not support the internationalization and sub-timezone display of dates. The date class began to evolve from the Java Development Package (JDK) 1.0, when it co

Using the Javadate class Data Warehouse dimension table

Using the Javadate class Data Warehouse dimension tableDate Category:, returns the number of milliseconds for a relative date. Accurate to milliseconds. However, the internationalization and sub-timezone display of dates is not supported.The date class began to evolve from the Java Development Package (JDK) 1.0, when it included only a few ways to get or set the

Share dimension tables between data warehouses (marketplaces)

Some people often ask a question: do fact tables and dimension tables must be in a database? Why is there such a problem? As we mentioned, if the data warehouse is large enough, it may be split into so-called

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