Architecting modern applications is a tough job, and architecting a solid data model for modern applications is one of the toughest, yet most important, parts of a modern application architecture ...

The Data Modeling course is targeted at data analysts, database administrators, business analysts, and the information technology professionals dealing in the field of data architecture and enterprise ...

Data architecture vs. data modeling. ... (adding more machines to distribute the load of the database). Flexibility. Flexible data architectures can integrate new data sources, ...

Data modeling, transformation, DDL script generation, database object creation, debugging, management and SQL stored procedures and functions are all available within IBM InfoSphere Data Architect ...

Data modeling advantage: DbSchema aids in the design and management of SQL, NoSQL, and Cloud Database frameworks using JDBC drivers. It offers a graphical interface and powerful capabilities that ...

Given the advantages that data modeling offers for database insights, it’s important to learn how to do data modeling effectively in your organization. In this guide, I’ll point out some key ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

Data architecture, however, spans the organization and takes a high-level, holistic view, whereas data modeling focuses on specific systems or business cases. In any case, the architecture or ...

AI fabric architecture is modular, scalable, and future-proof and the key to organizational excellence in the modern business landscape Time flies in the world of data analytics and artificial ...

VAST Data introduced a new AI cloud architecture based on Nvidia's BlueField-3 DPU technology, improving performance, security, and efficiency for AI data services.