What is the difference between Bill Inmon and Ralph Kimball approaches of data warehouse architecture?
Kimball uses the dimensional model such as star schemas or snowflakes to organize the data in dimensional data warehouse while Inmon uses ER model in enterprise data warehouse. Inmon only uses dimensional model for data marts only while Kimball uses it for all data.
What is the Inmon data warehouse?
Bill Inmon, the recognized father of the data warehousing concept, defines a data warehouse as a subject-orientated, integrated, time variant, non-volatile collection of data in support of management’s decision-making process.
When you should use Inmon or Kimball methods for your data marts and warehouses?
We’ve narrowed down a few aspects that can help you decide between the two approaches. Reporting Needs: If you need organization-wide and integrated reporting, then the Inmon approach is more suitable. But if you require reporting focused on the business process or team, then opt for the Kimball method.
What is Ralph Kimball methodology?
Ralph Kimball is a renowned author on the subject of data warehousing. His design methodology is called dimensional modeling or the Kimball methodology. This methodology focuses on a bottom-up approach, emphasizing the value of the data warehouse to the users as quickly as possible.
What are the most common approaches in data warehousing?
There are 2 approaches for constructing data-warehouse: Top-down approach and Bottom-up approach are explained as below.
- Top-down approach:
- Advantages of Top-Down Approach –
- Disadvantages of Top-Down Approach –
- Bottom-up approach:
- Advantages of Bottom-Up Approach –
- Disadvantage of Bottom-Up Approach –
Which is better Kimball vs Inmon?
For designing, there are two most common architectures named Kimball and Inmon but question is which one is better, which one serves user at low redundancy….Difference Between Kimball and Inmon :
| Parameters | Kimball | Inmon |
|---|---|---|
| Cost | It has iterative steps and is cost effective. | Initial cost is huge and development cost is low. |
What are data marts how do they differ from data warehouses?
Data marts contain repositories of summarized data collected for analysis on a specific section or unit within an organization, for example, the sales department. A data warehouse is a large centralized repository of data that contains information from many sources within an organization.
What is Inmon methodology?
The Inmon approach is referred to as the top-down or data-driven approach, whereby we start from the data warehouse and break it down into data marts, specialized as needed to meet the needs of different departments within the organization, such as finance, accounting, HR etc.
What is the main objective of Kimball?
The focus of the Kimball approach is on identifying the key business process and the subsequent business solutions that we need to provide with the data warehouse.
Which is best ETL or ELT?
ETL is better suited for compliance with GDPR, HIPAA, and CCPA standards given that users can omit any sensitive data prior to loading in the target system. ELT carries more risk of exposing private data and not complying with GDPR, HIPAA, and CCPA standards given that all data is loaded into the target system.
What is the difference between ETL and data warehousing?
The main difference between ETL and Data Warehouse is that the ETL is the process of extracting, transforming and loading the data to store it in a data warehouse while the data warehouse is a central location that is used to store consolidated data from multiple data sources.