Pascal Desmarets, CEO of Hackolade, recently spoke at Data Architecture Summit 2018 Conference about agile modeling for NoSQL databases. He said that data modeling is even more important in NoSQL ...
Learn how modeling the NoSQL databases is different from the data modeling in Relational database space Understand the steps in a typical NoSQL data modeling process Deliverables and artifacts in ...
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 ...
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 ...
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.
One of the critical decisions facing companies embarking on big data projects is which database to use, and often that decision swings between SQL and NoSQL. SQL has the impressive track record, the ...
AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...
Cohesity also is expanding its data protection and management capabilities with native Kubernetes container and Microsoft OneDrive capabilities. Data protection software and appliance developer ...
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 ...
Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...