Data Vault Modeling is a hybrid approach that combines third normal form and dimensional modeling to create a logical enterprise data warehouse. It is designed to handle big data, structured data, and unstructured data sets, and focuses on integrating raw data by business key.

The data vault modeling is a hybrid approach based on third normal form and dimensional modeling aimed at the logical enterprise data warehouse. The data vault model is built as a ground-up, incremental, and modular models that can be applied to big data, structured, and unstructured data sets.

Data Vault modeling is not a replacement for dimensional modeling, which is an industry standard for defining the data mart (the layer used to present the data to the end-user). Because the book is meant to cover the whole process of building a data warehouse end-to-end, it also covers dimensional modeling.

“ Data Vault 2.0” is a system of business intelligence that includes modeling, methodology, architecture, and implementation best practices. The components also known as pillars of Data Vault 2.0 are identified as follows: • Data Vault 2.0 modeling—focused on …

2014年1月17日 · A Data Vault Satellite is a component within a data warehouse that stores every change made to the raw data, ensuring that historic data is preserved without any updates or modifications, similar to a Type II dimension in dimensional modeling.

In Visual Data Vault, the logical modeling language for Data Vault modeling, we distinguish between composite keys and smart keys: while they have the same goal to capture the required grain of the business key, a composite key is made up of an unique combination of columns [4].

2014年6月20日 · By adding a satellite to the reference table to enable historization, it is possible to follow the basic concepts of Data Vault 2.0 modeling to extend the simple reference table introduced in the previous section. This is a great example of how these basic entities can be used by combining them into advanced entities.

2013年7月15日 · In the Data Vault 2.0 architecture, the categorization of an aircraft would be loaded into a table called a satellite that contains descriptive data (we explain the base entities of Data Vault 2.0 modeling in Chapter 4 in detail). When the logic in the source system changes – in this case, the format of the N-Number – the old satellite is ...

One of the most important components of the end-state architecture is that of the data vault. The data vault exists to satisfy the need for rock-solid data integrity. Like all other components of the end-state architecture, the data vault has gone through its own evolution. And like all components of the end-state architecture, data vault will ...

Data Vault 2.0 includes architecture, modeling, methodology, and implementation best practices and standards that work with Big Data, relational, hybrid, and NoSQL systems. This chapter is helpful to those who are looking for new methods to constructing their enterprise business intelligence (BI) solutions or those struggling with the ...