Blog

Everything From Data Tips and NoSQL Best Practices to Industry Specific Insights

Product

Data Hub Central is the collaborative, self-service user experience for building your cloud data hub on MarkLogic Data Hub Service.

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Architect Insights

Using the UML-to-Entity Services Toolkit for UML Modeling with Data Hub and Semantics

In this third post of the series, we examine modeling for a mixed document/semantic database and demonstrate how to use UML modeling with MarkLogic's Data Hub Framework.

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Business Insights

September 23, 2021

Big Data: The Aftermath

There's a difference between what Big Data offers, and what business users actually want. Industry veteran Chuck Hollis explains.

Architect Insights

September 16, 2021

Multi-Model: The Next Step In Database Technology?

Does your database just store multiple data types, or can it also serve them back to the business with agility and flexibility? Get some tips on things to consider when evaluating multi-model database technologies.

Business Insights

August 12, 2021

What Makes Complex Data Different

How do you know when you have complex data, and why is it important? Industry veteran Chuck Hollis explains.

Product | Use Cases

August 5, 2021

Standardizing Internal Data Models on FHIR

Learn about MarkLogic's work on a FHIR-based standardized data model to support persisted payer data for our Medicaid Accelerators.

Business Insights

July 30, 2021

Why Organizations Are Becoming More Data-driven

Highlights from a recent webinar with 451 Research, focusing on the new ways data-driven organizations are thinking about data governance.

Business Insights

July 20, 2021

Choices In Enterprise Data Infrastructure

Learn how data infrastructure investment decisions impact the skirmishes between thirsty data consumers and drought-stricken IT groups.

Architect Insights

July 7, 2021

Building Your Next Data Platform: Choices Ahead

Figuring out how to best connect data from multiple sources and deliver it to support multiple business processes can be a hard problem. Find out some important things you should consider.