A document database (sometimes referred to as a “document store” or a “document-oriented database”), is a NoSQL or non-relational database. However, document databases use an index to associate “keys” with “documents,” making them more efficient at retrieving data. Unlike relational databases, document databases are not structured with a format of rows and columns, but scale […]
Graph Database vs. Document Database: Different Levels of Abstraction
“Remember that every science is based upon an abstraction. An abstraction is taking a point of view or looking at things under a certain aspect or from a particular angle. All sciences are differentiated by their abstraction.” (Fulton Sheen) Graph and document databases (aka document stores), also demonstrate this principle. A few years, graph databases […]
What Is a Document Database?
Document databases refers to a category of NoSQL that represents data in a tree structure, where paths or branches connect data values or leaves. Frequently, document stores use XML and JSON formats stores. There are few practical limits to the number of paths, fields, values, or types of data that can be added to specific […]
A Brief History of Metadata
Metadata is a small amount of data designed to provide reference information about other data. For example, in 280 BC, the Great Library of Alexandria attached a small, dangling tag to the end of each individual scroll. The tags gave the title, subject, and author, allowing library users to assume the content, without having to […]
An Introduction to Metadata Management
Click to learn more about author Sowmya Tejha Kandregula. According to IDC, the size of the global datasphere is projected to reach 163 ZB by 2025, leading to the disparate data sources in legacy systems, new system deployments, and the creation of data lakes and data warehouses. Most organizations do not utilize the entirety of the data […]
The Atoms and Molecules of Data Models
Click to learn more about author Thomas Frisendal. I realized that I needed to know what the constituent parts of data models really are. Across the board, all platforms, all models etc. Is there anything similar to atoms and the (chemical) bonds that enables the formation of molecules? My concerns were twofold: As part of […]
The Emergence of ”Metadata Science”? Using Graph Technology for Data Modeling
Click to learn more about author Thomas Frisendal. Building Data Models from Meta Models Recently, I worked with a government client on a Knowledge Graph kind of project. Being government, much of their data is public information. And, consequently, so are the data models. Instead of diagramming the same data all over again, I decided […]
Machine Learning Will Do Auto-Programming’s Heavy Lifting
Programming an information system can be strenuous labor. If you’ve ever spent hours intently producing some intricately detailed textual composition, you know what I mean. And if you’re typing out mind-numbing technical verbiage every single work day, the repetitive stresses can wear you down. If you’re a programmer, your nervous system will scream for anything […]
LDM Webinar: Data Modeling for XML and JSON
To view just the slides from this presentation, click HERE>> About the Webinar Data modeling has traditionally focused on relational database systems. But in the age of the internet, technologies such as XML and JSON have evolved to provide structure and definition to “data in motion”. Have data modeling technologies evolved to support these technologies? […]
LDM Slides: Data Modeling for XML and JSON
LDM Slides: Data Modeling for XML and JSON from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> About the Webinar Data modeling has traditionally focused on relational database systems. But in the age of the internet, technologies such as XML and JSON have evolved to provide structure and definition to “data […]