A digital twin is a virtual device that contains the exact state, information, and organization of the physical device to which it is connected. Think of it as a test version before proceeding with product development or interacting with a real-world device. Digital twins go hand-in-hand with implementing the Internet of Things (IoT). Industrial companies […]
2021: Three Game-Changing Data Modeling Perspectives
Click to learn more about author Thomas Frisendal. Common wisdom has it that we humans can only focus on three things at a time. So, I had to cut down my January 2021 list of things of importance in Data Modeling in this new, fine year (I hope)! Looking at them from above, as we […]
Data Architecture with Data Governance: A Proactive Approach
“Data Architecture is the physical implementation of the Business Strategy,” said Nigel Turner, Principal Consultant in E.M.E.A. at Global Data Strategy, speaking at the DATAVERSITY® Enterprise Data Governance Online Conference. “It’s a key part of the whole continuum that you need to build within an organization to manage data effectively,” and Data Governance forms an […]
The Three Techniques for Improving Analytics ROI in the Cloud
Click to learn more about author Maurice Lacroix. In an industry as competitive as eCommerce retail, the ability to turn data into actionable insights presents the opportunity to make business decisions that drive more revenue and control costs. Collecting and then analyzing retail data like customer visits, logistic fulfillment, pricing, and customer satisfaction presents a […]
Generally Accepted Data Modeling Principles
What can data modelers learn from accountants? Accounting is a solidly established practice that the world cannot live without. One of the established guidelines for accountants is called GAAP (Generally Accepted Accounting Principles in the US), and there are similar international setups. You might guess these standards are about rules, but actually, accounting is much […]
The “Actionable” Metadata
Click to learn more about author Anand Govindarajan. During the days of building data warehouses and BI systems, all that was captured, as truly “metadata,” was the data about creation/access of the data structures for audits, data about the execution of data loads, and so on. Primarily, whatever supported the “operations” of the data warehouse. […]
How to Overcome the Challenges of Using a Data Vault
Click to learn more about author Eva Murray. What Are the Challenges? From flexibility to scalability and efficiency, using a data vault as your Data Modeling approach has many benefits. But simultaneously there are challenges that you need to be aware of. In this blog I’m going to walk you through the limitations and how […]
Jump Start Data Management Initiatives Through Improved Business Cases
Inch by inch, step by step, block by block – that’s how you build a business case for Data Management. What those inches, steps, and blocks will look like depends in large part on the organizational maturity of the business with regard to Data Management. In more mature businesses, it’s easier to make the case […]
Learning from Complex Data Modeling Practices
Click to learn more about author Thomas Frisendal. Now is a good point in time to look at best practices in database design for SQL databases. Are there things that could have been easier to do if the SQL designers had had absolute foresight? Of course, the answer is yes. But what is most important […]
What Is a Data Modeler?
A data modeler is a person who models data or documents software and business system designs. By doing this, a data modeler translates business needs into technical specifications. Developers and other IT members benefit from this when creating new data systems and troubleshooting and maintaining them. Data models promote consensus among developers, customers, and other […]