The examples in this chapter illustrate a classic data warehouse (star schema/snowflake, multidimensional, measures/facts), a small distributed data mart, and an OLAP cube.

Context, not content, now drives AI visibility, making structured data the strategic data layer every enterprise must ...

AI models weigh credibility heavily. Mentions in respected media outlets, research publications or industry databases reinfo ...

Data drift exists in three forms: structural drift, semantic drift and infrastructure drift. Structural drift occurs when the data schema changes at the source. Common examples of structural drift ...

Startup Imply Data Inc., which is promoting the use of the open-source Apache Druid real-time analytical database, today announced the third milestone in Project Shapeshift, its campaign to build ...

This article examines a calculus graphing schema and the triad stages of schema development from Action-Process-Object-Schema (APOS) theory. Previously, the authors studied the underlying structures ...

Data observability is the foundation for data trust, and data trust is a must for AI. Leaders must act now to ensure their data fuels decisions, innovation and growth.

Imply Announces Automatic Schema Discovery for Apache Druid, Reinforcing Druid’s Leadership for Real-Time Analytics on Streaming Data ...