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, […]
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. […]
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 […]
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. […]