Data Warehousing is the storage of big data. Data mining is the analysis of the collected data in order to find trends in the ...

Cloudera’s head of emerging business shares lessons that machine learning practitioners can learn from their cousins in data warehousing.

The coming decade is going to require a modern data warehouse to meet demanding new requirements for machine learning, data variety, and real-time analytics-while still satisfying the more traditional ...

What is the future of data warehousing with relation to the cloud? This question was originally answered on Quora by Christopher Lynch.

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

Google’s history of machine-learning research increasingly informs its cloud product development strategy, and it introduced a preview of machine-learning capabilities for its BigQuery data ...

Ocient promises the use of highly optimized storage and processing to be able to handle hyperscale data requirements, without the need for using GPUs.

Learn how one higher education institution is modernizing and strengthening its endowment and fundraising strategy by ...