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 […]
Why Enterprise Data Planning Is Crucial for Faster Outcomes
Click to learn more about author Tejasvi Addagada. Are you planning on strategically using data to improve the efficiencies of your value chains? You are not alone and every organization in this league is looking at ways to augment these customer journeys. This can happen with artificial intelligence models that can make a journey interesting for […]
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 […]
Maximizing Your Data Fabric’s ROI via Entity Data Modeling
Click to learn more about author Dr. Jans Aasman. Data fabrics are emerging as the most effective means of integrating data throughout the enterprise. They deliver a single access point for all data regardless of location — whether it’s at rest or in motion. Experts agree that data fabrics are the future of data analytics and […]
Solving the Right Problem: A Case Study in Risk Management
Click to learn more about author Steve Zagoudis. “Successful problem solving requires finding the right solution to the right problem. We fail more often because we solve the wrong problem than because we get the wrong solution to the right problem.” – Russell L. Ackoff [1] Managing risk starts with identifying and solving the right […]
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 […]
DataEd Webinar: Data Management Best Practices
To view just the slides from 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 design a process for Data Management goal achievement? This program […]
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, […]