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 […]
Enterprise Data Literacy: Understanding Data Management
To truly understand data-as-an-asset requires Enterprise Data Literacy, an organizational capability to take, analyze, and use data to remain secure and competitive. But achieving a high Enterprise Data Literacy can remain daunting when business and IT interact together. All too often in the middle of a project sprint, IT gets stuck on a minor problem, […]
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 […]
To Grok or Not to Grok Data Models: A Summer Special
Click to learn more about author Thomas Frisendal. We need something light – yet still important – to ease our minds in the summertime. As a data modeler I have often experienced serious disconnects between not only business people and myself, but also between the real world and the vocabulary and definitions attributed to it. […]
So You Want to Be a Data Modeler?
There is a always a need for data modelers, however, the job description of this career field varies, depending on the needs of the organization. For example, a data modeler working for a startup would coordinate with data scientists and data architects in designing a new system — one that included the goals of the […]
Productizing IT Services for Data Management Projects
Click to learn more about author Digvijay Lamba. Many organizations overcome a lack of data engineers by outsourcing their Data Management needs to IT service providers. Startups, small and mid-sized businesses, and even larger organizations are rich in domain expertise but inexperienced in preparing data for insights, which is why they hire outsiders to perform […]
Working with Complex Data Models
Complex data models have now become the norm. A single stream of the data can travel through many hubs, and many different technologies. It may travel through the front end, the APIs, the Kafka pub/sub systems, Lambda functions, ETLs, data lakes, data warehouses, and more. Riding within this stream of data is the schema, and […]
Roll Call: Visual Graph Data Models Today
Click to learn more about author Thomas Frisendal. Preamble: Five years ago, I wrote a book about a new approach to Data Modeling — one that “turns the inside out.” It discussed visual Graph Data Modeling. For well over 30 years, relational modeling and normalization were the name of the game. One could ask that […]
Knowledge Graphs: Context, Compliance, and Connections
“Graph is leaving a larger and larger footprint. And that is good,” said Thomas Frisendal in Knowledge Graphs and Data Modeling. Gartner named knowledge graphs as part of an emerging trend toward digital ecosystems, showing relationships among enterprises, people, and things, and enabling seamless, dynamic connections across geographies and industries. Elisa Kendall and Deborah McGuinness, […]
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 […]