A data model should show the relationships that exist between various customers, concepts, products, among many. Data Modeling describes the creation of a visual representation (a chart or diagram) of a data system, or parts of that system. It is used to display and communicate connections between objects/concepts and shows their relationships. The goal of […]
Tales of Data Modelers
Reading Larry Burns’ “Data Model Storytelling” (TechnicsPub.com, 2021) was a really good experience for a guy like me (i.e., someone who thinks that data models are narratives). I agree with Larry on so many things. However, this post is not a review of Larry’s book. Read it for yourself – highly recommended. Reading it triggered […]
A Strategic Approach to Data Quality
“To tackle today’s Data Quality challenges, you need a more strategic approach,” said Nigel Turner, Principal Consultant, Global Data Strategy. Turner spoke at the DATAVERSITY® Enterprise Data Governance Online (EDGO) Conference about Data Quality Management, what it entails, and how to succeed by aligning it closely with two other disciplines. What is Data Quality Management? […]
Data Architect vs. Data Engineer
Data careers are becoming increasingly important and popular all across the globe, simply because “data” is the new currency of the data economy. The pandemic gave the needed push to accelerate the digital transformation of global businesses, and currently, the primary market differentiator is an enterprise’s data infrastructure readiness. This data infrastructure comprises systems, processes, […]
How Transformer-Based Machine Learning Can Power Fintech Data Processing
Machine learning (ML) has enabled a whole host of innovations and new business models in fintech, driving breakthroughs in areas such as personalized wealth management, automated fraud detection, and real-time small business accounting tools. For a long time, one of the most significant challenges of machine learning has been the amount and quality of data […]
Webinar: Data Modeling and Relational to NoSQL
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Making the move to a document database can be intimidating. Yes, its flexible data model gives you a lot of choices, but it also raises questions: Which way is the right way? Is a document database even the […]
What Is a Knowledge Graph?
A knowledge graph, which can be considered a type of ontology, depicts “knowledge in terms of entities and their relationships,” according to GitHub. An example of a knowledge graph is shown below. Knowledge graphs developed from the need to do something with or act upon information based on context. For example, knowledge graphs help identify […]
What’s in a Name? (aka Data Modeling What?)
Click to learn more about author Thomas Frisendal. This is a summer special, on the lighter side, but addressing a simply overwhelming issue at times. What Are You Talking About? Sometimes the obvious is not that … obvious. Many people know that I am on the graph-y side of the house. But explaining a simple matter like […]
Is Machine Learning a Good Fit for Your Product?
Click to learn more about author Juras Juršėnas. Not all machine learning applications have been met with resounding success. In fact, there’s a lot of disappointment involved. From overly ambitious projects to the expectation of ever being a finished product, machine learning is marred with false hope. I think Andrey Kurenkov has done a stellar […]
A Guide to Predictive Data Analytics (Making Decisions for the Future)
Click to learn more about author Ram Tavva. Everyone wants to succeed in their business, but some might choose an unwise approach toward it, while others might mess with the wrong set of data. A lousy hit wastes a lot of time and energy predicting the future and understanding the newest trends. But those problems […]