In This Chapter The Multidimensional Data Model In the past decade, Microsoft SQL Server Analysis Services established itself as one of the leaders in the Business Intelligences systems market.

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...

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

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

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

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.

Subscription management vendor Zuora packages up its data model for analysis alongside a wider range of customer success KPIs in Snowflake.

These AI models improve as they collect more data from operating the robot in production, and this data can also serve as the foundation of a new AI model that improves performance.

The Open Microscopy Environment Remote Objects (OMERO) software platform provides a server-based system for managing and analyzing microscopy images and non-image data.