Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping a toe: Integrating a legacy data warehouse into a data lake leverages the structured systems that ...

Inmon versus Kimball is one of the biggest data modelling debates among data warehouse architects. Here is some help to select your own approach.

In data warehousing, the logical model is often an afterthought or merely a carbon copy of the physical sans platform-specific properties. That limits the visibility and the use of the model to a ...

Technological Innovation: Multi-Professional Collaboration with Scene Large Models ...

Data Warehouse and Data Mart Design: ERwin governs and optimize data warehousing-specific modeling techniques for analyzing its performance.

How does a data warehouse work? A data warehouse is a system that stores and analyzes data from multiple sources. It helps organizations make better decisions by providing a centralized view of their ...

Designing your data warehouse Let’s start at the design phase. When planning your design, the vision for your new data warehouse is best laid out over an enterprise data model (EDM), which consists of ...

The company had used a central data warehouse for data analysis since its early days, but scalability eventually became a problem.

Data warehouse designs are the foundation of business intelligence projects. Find out 5 mistakes you need to avoid now.