They propose a novel experimental approach to the design a multidimensional data model that uses principles of the anchor modeling technique.

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 ...

As organizations undergo digital transformation, the importance of leveraging structured, multidimensional data and AI will continue to grow.

Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.

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

A data warehouse is an electronic system for storing information in a manner that is secure, reliable, easy to retrieve, and easy to manage.

Databricks, the champion of data lakehouse technology and its open storage format underpinnings, announced it set a world record for a data warehouse performance benchmark.

Redshift is essentially a petabyte-scale data warehouse service in the cloud, letting companies increase the query-speed performance when analyzing almost any size data set.