Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data lake is defined as a centralized and scalable storage repository ...

Microsoft Fabric expands as industry analysts reveal critical criteria enterprises need for evaluating AI-ready data ...

Not all data lakes are created equal. If your organization wants to adopt a data lake solution to simplify and more easily operate your IT infrastructure and store enormous quantities of data without ...

Copies of large datasets tend to proliferate in many organizations because they reside in a data lake that lacks the ability to perform the work necessary to turn that information into business ...

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...

CHICAGO--(BUSINESS WIRE)--Today, DataForge, a leading data architecture solution provider, introduces the market’s first scalable, automated, and prepackaged data architecture platform. Tailor-made ...

In the ongoing debate about where companies ought to store data they want to analyze – in a data warehouses or in data lake — Databricks today unveiled a third way. With SQL Analytics, Databricks is ...

The data warehouse architecture and the data lake design pattern have converged to form a new, richer data architecture, a new report says, and both have already gone mainstream in the cloud.

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