Kategorie: Data Warehouse
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If metrics are unclear to stakeholders
Identify issues Identifying the underlying reason behind unclear success metrics is the initial step towards resolving the issue. First, determine if the lack of clarity and consensus on success metrics stems from misunderstandings or missing definitions, as this would indicate a political issue. If so,…
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Dimensional Modeling – Pros & Cons
The key idea behind dimensional modeling is to create a data structure that is easy to understand and navigate, while providing high performance for analytical queries. The star schema, with a central fact table surrounded by dimension tables, even offers a visual representation. This alignment…
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Important factors in a Data Warehouse project.
You’re considering a data warehousing project. What are the most important factors to consider?
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SCD2 simplified example
When dealing with Slowly Changing Dimension Type 2 (SCD2) in a data warehouse, a common practice is to use a staging pattern to handle the loading and processing of data before it is inserted into the final dimension table. This staging pattern helps manage historical…
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Types of Dimension Tables
Dimension tables can be categorized into different types based on the nature of the data they represent. Here are some common types of dimension tables: Conformed Dimensions Conformed dimensions are dimensions that are shared and consistently used across multiple data marts or data warehouses within…
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Types of Fact tables
In the context of data warehousing and business intelligence, there are three main types of fact tables based on the nature of the data they store and the business processes they represent. Transactional Fact Tables Transactional fact tables serve as the bedrock of data warehousing,…
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Facts and Dimensions
Fact tables serve as the central repository for business facts, while dimension tables categorize and add meaning to the data through descriptive attributes, forming a key component of dimensional modeling in business intelligence.
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Dimensional Modeling Introduction
Dimensional Modeling is a key componend of designing effective data warehouses. This is an introduction, to the most important topics.
