A data catalog inventories and makes critical datasets available through metadata management. This platform informs businesspeople about what dataset assets exist and are related, where to find them, when they appeared, who created them, and how to access them, among other insights. As centralized repositories, data catalogs aim to be relevant to users across an organization, […]
Do You Really Need a Data Catalog?
A data catalog can be an excellent resource for a business. An important element of modern metadata management, it can make many workflows and business processes clearer, encourage better cross-departmental collaboration, and boost productivity in several key ways. Gretchen Burnham and Becky Lyons of First San Francisco Partners recently sat down with DATAVERSITY® to talk about some of the big questions in […]
What Is a Metadata Repository?
A metadata repository is a software tool that stores descriptive information about the data model used to store and share metadata. Metadata repositories combine diagrams and text, enabling metadata integration and change. The metadata repository’s power lies with the easily accessible way people can view and navigate its contents. Other Definitions of Metadata Repositories Include: […]
Case Study: Enterprise Metadata Repository Facilitates Change at the University of Washington
This past summer The University of Washington went live with Workday, a Software-as-a-Service human capital management solution. It replaced a decades-old HR/payroll (HR/P) system and represented the largest administrative transformation in the school’s history. Human resources personnel are affected by the change, of course, but so too is practically everyone else on campus. That’s to […]
Metadata Repository Essential Use Cases
“Even though we’re working with very sophisticated Data Science resources, we still hear over and over, ‘I don’t even know what data is available,’” said Susan Swanson, the Senior Manager of Data Modeling and Architecture at Health Care Service Corporation (HCSC), an organization that offers regional health care coverage and services. Speaking at the DATAVERSITY® […]
Metadata Repository Basics: From Database to Data Architecture
Companies use a metadata repository to store and share information about data or metadata. Metadata repositories, once thought limited to databases or diagrams, have evolved sophisticated Data Architectures, driving businesses to transform the marketplace digitally. Take the New South Wales (NSW) government’s Spatial Digital Twin, which went live in February 2020. NSW, an Australian state […]
Smart Data Distancing: A Necessity or Just Another Fancy Word?
Click to learn more about author Sowmya Tejha Kandregula. The ongoing COVID-19 pandemic has made the term “social distancing” a cynosure of our daily conversations. There have been guidelines issued, media campaigns run on prime time, hashtags created, and memes shared to highlight how social distancing can save lives. When you have young children talking […]
Case Study: Helsana Automates Their Data Warehouse Infrastructure
Switzerland’s largest health insurance provider Helsana serves one out of every four insured, which translates into 1.9 million customers and 6.4 billion Swiss francs in sales annually. In the past, innovation had been prevented by reliance on hand-coding, manual processes, and institutional knowledge held by individuals, said Gallus Messmer, data warehouse architect at Helsana — […]
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 […]
Building the Pillars of Data Modeling and Enterprise Architecture
Ron Huizenga believes it’s possible for an organization to reach an enlightened state where users can “understand the journey of their data through the entire organization.” That entails knowing when the data was created, the processes that use it, being aware of how it’s transformed on its way through the organization, and ultimately, knowing when […]