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.

As organizations seek to unlock the full potential of MongoDB, data modeling and schema design play a pivotal role in ensuring optimal performance and leveraging its unique features.

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 ...

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

For example, using structured data designed for a Product when the company is offering a service. Something as seemingly trivial as this can result in a manual penalty from Google.

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

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.