Graph data modeling requires a different paradigm than modeling with Relational or other NoSQL databases. InfoQ spoke with Jim Webber and Ian Robinson about data modeling with Graph databases.

Traditional data modeling followed the steps of design, document, implement, integrate and publish. The shift to big data has caused the process for organizations to change. Data modeling for big data ...

What is data modeling, and why does it break down? Fundamentally, data modeling involves arranging data in a structured way to improve accessibility and use for a range of applications and analyses.

In Key Value data stores, data is represented as a collection of key–value pairs. InfoQ spoke with Casey Rosenthal from Basho team about data modeling when using Key Value NoSQL databases.

Otherwise, modeling is just an interesting, time-consuming and expensive exercise. Modeling is an important characteristic of sophisticated marketing today. Marketers must ask the right questions to ...

A new world of self-service BI brings with it its own issue of data chaos. When everyone is looking at the data their own way, people find different answers to the same questions. Data modeling can ...

Data modeling does not excite passion within programmers. Your average Java or Python developer probably doesn’t even realize that they are doing it when they write programs, in great part ...

The process of de-identifying test databases can be approached in a variety of ways, and we’re often asked how our approach differs as compared to others. In this article, we’ll explore how our ...

What is Erwin? Erwin is a Data Modeling and Database Design Application Case Tool working on Windows. CA ERwin DM creates a blueprint for the enterprises to work on a design solution. ERwin Data ...

Recursive intelligent geographic modeling in a modeling-target-originated heuristic way to solving elementary modeling questions can solve the disadvantages in traditional execution-oriented ...