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Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

erwin has launched erwin DM NoSQL, an extension of the company’s erwin Data Modeler solution. Representing an expansion of the company’s “any-squared” (Any 2)—any data, anywhere—approach, the new ...

Hackolade, a Belgium-based provider of data modeling software for NoSQL and multi-model databases, has introduced a data modeling software tool for the Couchbase NoSQL database community. With this ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Progress Software Inc. today announced a deal to acquire MarkLogic Inc., the maker of a NoSQL database management system that’s primarily used for enterprise data integration. The purchase price ...

Data modeling best practices help define a formal process that gives structure and direction to an organization’s data. Read more about data modeling now. Data modeling, at its core, is the process of ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

The latest trends in software development from the Computer Weekly Application Developer Network. Agile developers tend to view data modeling as a bottleneck preventing them from delivering value.

NoSQL databases arose in response to the limitations of using SQL (Structured Query Language) for database queries. NoSQL databases store and manage data in ways that enable high operational speed and ...

Cohesity also is expanding its data protection and management capabilities with native Kubernetes container and Microsoft OneDrive capabilities. Data protection software and appliance developer ...

Big data is less predictable than traditional data, and therefore requires special consideration when building models. Here are some things to keep in mind. Data modeling is a complex science that ...