When moving to a data warehouse, the architectural design and the storage structure implementation are integral to ensuring the performance and scalability of future development projects.

For a flawless data warehouse design and process, avoid the following common mistakes. Investments in data warehouse design and process rarely bear fruit in the short term, and hence it would be ...

And, it is in this regard that the following seven principles of effective data warehouse design are discussed. They consist of both business as well as IT principles. At the very onset of ...

There are two major schools of thought about how to design a data warehouse. The difference between the two has to do with the direction of data flow between the data warehouse and the data marts.

The Qlik Compose solution can bring modern capabilities across the data warehouse lifecycle, according to the report. That includes: Faster requirements gathering, warehouse design and creation with ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Amilcar has 10 years of FinTech ...

Agile data governance software is different from traditional resource-intensive data warehouse design in a several key ways. 1. Navigation. Agile data governance software allows data to ...

organizational design and skills, processes and data management. All these things must come together to make a data warehouse project work. Throughout the whole build process, it’s crucial to ...

Conform to standards set by higher levels of government. Data warehouse design must take all of these into account to achieve minimal functionality. But to become truly effective, the business ...

Data warehouse design is not a short-term investment and it’s important to understand that the process will rarely show results in a limited time frame. By looking toward the future, you’ll be more ...