These top data modeling tools and applications enable users to build conceptual and logical data models that deliver significant competitive advantage. Written by eWEEK content and product ...

Huawei’s Future-proof Data Storage Power aims to accelerate digital and intelligent transformation across industries ...

As with any change, a universal semantic layer requires training and effective change management. Promote collaboration via visual data modeling. While there are several factors to consider when ...

Gartner Inc. predicts that organizations will develop 80% of Generative AI (GenAI) business applications on their existing ...

Global master data management has become a critical enabler for enterprises adopting the global business services operating model, ensuring consistent, accurate and reliable data across integrated ...

This TDWI Best Practices Report identifies current challenges organizations are facing with data strategy and management, as well as shared modernization priorities for achieving data-driven business ...

In our increasingly digital economy, data is the oxygen that powers transformation, fuels artificial intelligence, drives ...

multi-tenant data management should address the following considerations. An operational data store, often described as a data-as-a-service (DaaS) model, centralizes data storage and consolidates ...

Topics include goals of database management; data definition; data models; data normalization; data retrieval and manipulation with relational algebra and SQL; data security and integrity; database ...

Data management was a challenge for enterprises ... multi-year partnership with Anthropic to integrate the AI startup’s models in its Snowflake Cortex AI, Snowflake Intelligence, and Cortex ...

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.