In this contributed article, editorial consultant Jelani Harper discusses how data virtualization is the underlying technology for some of the most progressive architectures today, including that of the data mesh, data lake house, and data fabric. Although it’s still regarded as a desirable, dynamic means of integrating data, it’s silently reshaping itself into something that encompasses this attribute but, ultimately, is much more.
Data Virtualization’s Ubiquity: Data Meshes, Data Products, Data Lake Houses, Data Fabrics
April 29, 2022 by Leave a Comment
Surpassing Decentralized Data Management Woes with Data Virtualization
June 11, 2021 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper discusses how data virtualization enables organizations to surmount obstacles (i.e. data quality, schema, and data integrations that are foundational to data management) and to focus on benefits (i.e. remote collaborations characteristic of working from home, the takeoff of the cloud as the de facto means of deploying applications, and the shift to external sources of unstructured and semi-structured data). Supplementing it with mutable graph data models boosts its applicability to data of all types.
New Way of Looking at Data Can Help Improve College Enrollment Insights and Student Retention
February 9, 2019 by Leave a Comment
In this contributed article, Taylor Riggs, Director of Data Visualization and Customer Success at GlyphEd, observes that every day, more colleges and universities are using data analytics to improve their admissions and student success metrics. But as the amount of student and organizational data increases, it can be hard to find the “needle in the haystack.” Enter the glyph, a unique way of holistically visualizing all the data known about a student – allowing enrollment teams to see more and know more, faster.
5 Common Myths Around Virtualizing Big Data (Number 3 is SANdalous!)
May 12, 2017 by Leave a Comment
In this contributed article, Justin Murray, Technical Marketing Manager at VMware, discusses 5 common myths around virtualizing big data. Big data burst on to the scene a little over a decade ago. Today it is not an obscure term confined to just a handful of bleeding edge companies. It is a mainstream trend that every enterprise undergoing a digital transformation journey has adopted. The technology landscape around big data has broadened dramatically.
Interview: Why Denodo Believes Everyone Needs Data Virtualization
May 6, 2014 by Leave a Comment
“The Denodo Platform delivers the capability to access any kind of data from anywhere it lives without necessarily moving it to a central location like a data warehouse. Once moved it exposes that data to various users and analytical/business applications as virtual data services in a way that is meaningful to the users, in real-time, with high performance, using caching and minimal data movement only as needed. That is data virtualization in a nutshell.”
