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 […]
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 […]
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 […]
The Structure of Concept Models
Click to learn more about author Ronald G. Ross. This is the third and final part of a three-part series. See part one Confessions of a Concept Modeler here, and part two Creating Concept Models here. In creating a concept model, you are designing a special kind of business blueprint, one crucial for information architecture, business […]
GoodData Announces New Collaborative Data Modeling Solution
According to a recent press release, “GoodData®, a leader in end-to-end analytics solutions, today announced the release of a new web-based logical data model (LDM) modeler. The new LDM modeler brings new capabilities and tooling and enables the simplification of data modeling when starting a new data product or extending existing enterprise reporting. The web-based […]
Cloudera Delivers Open Standards Based MLOps
A new press release states, “Cloudera, the enterprise data cloud company, today announced an expanded set of production machine learning capabilities for MLOps is now available in Cloudera Machine Learning (CML). Organizations can manage and secure the ML lifecycle for production machine learning with CML’s new MLOps features and Cloudera SDX for models. Data scientists, […]
Decoded Data Lineage Helps Tackle Bad Data Quality
What are your outcome expectations of data lineage? No one’s just doing it for fun, after all. Generally speaking, data lineage is a major asset for: Regulatory reporting/governance; trust in decision-making; and, on-premise to cloud migrations. Data lineage tools track business data flow from originating source through all the steps in its lifecycle to destination. […]
Creating Concept Models
Click to learn more about author Ronald G. Ross. Getting Started This is the second part of a three-part series. See part one Confessions of a Concept Modeler here. In creating a concept model, you can start in any of several ways, whichever best fits your circumstances. For example, you can start by identifying terms or […]