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What Is a Property Graph?

A property graph is a type of graph model where relationships not only are connections but also carry a name (type) and some properties. A property graph excels at showing connections among data scattered across diverse Data Architectures and data schemas. They provide a richer view on how data can be modeled over many different […]

Online Machine Learning: Into the Deep

Click to learn more about author Andrea Ferretti. Online learning is a branch of machine learning that has obtained a significant interest in recent years, thanks to its peculiarities that perfectly fit numerous kinds of tasks in today’s world. Let’s dive deeper into this topic. What Exactly Is Online Learning? In traditional machine learning, often […]

What Is Canonical Data Modeling?

Canonical Data Modeling documents, using Data Modeling techniques, how messages or packets pass between different systems internally in the organization and across different company systems, to do e-business. Data sometimes vary, across systems, in their definitions. For example, a company may have defined “customer” for a data warehouse constructed 10 years ago and then characterized […]

Computing: A Human Activity!

Click to learn more about author Thomas Frisendal. I started at the University of Copenhagen in 1969. My professor was Peter Naur. He was in many ways an unusual man and a deep thinker. It is only now in recent years that I realize how much he influenced my thinking. 1969 was his second year […]

DataEd Slides: Data Management Best Practices

DataEd Slides: Data Management Best Practices from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> About the Webinar It is clear that Data Management best practices exist, and so does a useful process for improving existing Data Management practices. The question arises: Since we understand the goal, how does one […]

So You Want to Be a Data Engineer?

The work of data engineers is extremely technical. They are responsible for designing and maintaining  the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. Data engineers need to have a solid understanding of commonly used scripting languages and are expected to support the steady evolution of improved Data Quality, […]

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