Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

Oracle today introduced the Oracle SQL Developer Data Modeler. The standalone tool supports logical, relational, multi-dimensional and data type modeling while featuring multi-layered design and ...

Sigma, an innovator in cloud business intelligence (BI) and analytics, announced its forthcoming release of a visual data modeling capability, SQL Runner, and one-click Snowflake integration, allowing ...

Top data modeling solutions enable organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive GUI. With the ability to view “any data” from ...

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 ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article explores that question through ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...

Learn how Power BI Analytics in Microsoft BI uses data modeling, DAX, Power Query M, and a data gateway to build secure, ...

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...