As more and more companies start to use data-related applications to manage their huge assets of data, the concepts of data modeling and analytics are becoming increasingly important. While they typically rely on one each, they are two very distinct concepts. Companies use data analysis to clean, transform, and model their sets of data, whereas they […]
What Kinds of Data Languages Will We Need in the Future?
IBM had a pole position on the Database Management Systems (DBMS) market by developing “DL/I” in the 1960s as a means for defining and using hierarchical databases. Under the product names of DL/I and IMS (Information Management System) this dominated the database market for many years. Everybody, except for IBM followers, called the product “D-L-1,” […]
Conceptual Data Modeling: An Examination of Trends
John Singer wonders if Conceptual Data Modeling can save IT from itself.“I definitely think that we need a bit of saving. We need a little help in terms of how we build systems, especially from a data perspective.” Singer spoke at DATAVERSITY®’s Enterprise Data World Conference, about Data Modeling, current gaps in the field, and […]
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, […]
Datablau Demo: Modern Data Modeling Platform – From Data Modeling to Data Catalog
Download slides here>> Taking the right architectural approach to data governance can build a strong foundation for trusted data throughout the enterprise. An agile Data modeling management is proactive standardize increment schema designs, preventing data governance costly. Integrate data modeling and development, landing business glossary to data model, review data model in each iteration and […]
Knowledge Graph Standards in Ambient Computing
Ambient computing is a broad term that describes an environment of smart devices, data, AI decisions, and human activity that enables computer actions alongside everyday life, without the need for direct human commands or intervention. Ambient computing represents an unparalleled opportunity to enhance almost every sphere of society – from the professional to the personal. And in […]
DataEd Webinar: Data Modeling Fundamentals
To view just the slides from this presentation, click HERE>> About the Webinar Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with […]
DataEd Slides: Data Modeling Fundamentals
Data Modeling Fundamentals from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> About the Webinar Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development […]
Better Data Modeling with Lean Methodology
The process used today in systems development started with principles developed for assembly lines in the 1950s, when manufacturers wanted a more disciplined approach to producing goods and services.Products would come off an assembly line, they’d be inspected, defects would be found, and would be sent back to rework or start from scratch. This process […]
What Every Business Leader Needs to Know About Data Modeling
The COVID-19 pandemic has meant that data-driven decisions have influenced all our lives over the last two years. But decisions made without proper data foundations, such as well-constructed and updated data models, can lead to potentially disastrous results. For example, the Imperial College London epidemiology data model was used by the U.K. Government in 2020 […]