What is a Data Vault ? | 3NF vs Dimensional model vs Data Vault | Quick Starter Guide in 2020
A surrogate key is a unique identifier for a given row of data. It is important when creating a Data Vault model because it ensures that each row of data can be uniquely identified, even if the data itself changes. This is important because it allows for historical data to be tracked and compared, even as the data itself changes over time.
Data Vault is a data modeling technique that is designed to provide a flexible and scalable approach to data warehousing. Data Vault models are composed of three types of tables: hubs, links, and satellites. Hubs are used to store information about entities, while links are used to store relationships between entities. Satellites are used to store information about the attributes of entities.
Data Vault is a type of data warehouse that is used to store and manage large amounts of data. It is a popular choice for businesses because it is scalable and can be easily integrated with other data warehouses. If you are applying for a position that involves Data Vault, it is important to be prepared for the interview process. In this article, we will review some of the most common Data Vault interview questions and how you can answer them.
There are a few different ways to load data into the Data Vault. One way is to use the Data Vault Loader, which is a tool specifically designed for loading data into the Data Vault. Another way is to use a ETL tool, such as Informatica or SSIS, to extract the data from the source, transform it into the appropriate format, and then load it into the Data Vault.
A semantic layer is an abstraction layer that sits on top of a data warehouse. It is used to present the data in a way that is easy for users to understand and work with. The semantic layer defines the relationships between the different data elements in the warehouse, and provides a consistent interface for users to access the data.
Learn About Data Vault 0 Part 1
Although getting old now this introduction to Data Vault modelling written by Kent is a very readable introduction to the topic.
Kent also blogs regularly on Data Warehouse related topics as the Data Warrior
Q What does the data model contain?
Logical Data Model: Entity, Attributes, Super Type, Sub Type, Primary Key, Alternate Key, Inversion Key Entry, Rule, Relationship, Definition, business rule, etc
Physical Data Model: Table, Column, Primary key Constraint, Unique Constraint or Unique Index, Non-Unique Index, Check Constraint, Default Value, Foreign Key, comment, etc.
Basic Data Modeling Interview Questions
The three types of data models:
FAQ
What is data vault used for?
What is data vault approach?
What is data vault vs data warehouse?
Is data vault a data warehouse?
