Data Ethics describe a code of behavior, specifically what is right and wrong, encompassing the following: Data Handling: generation, recording, curation, processing, dissemination, sharing, and use. Algorithms: AI, artificial agents, machine learning, and robots. Corresponding Practices: responsible innovation, programming, hacking, and professional codes. Data Ethics build on the foundation provided by computer and information ethics, but […]
Deep Learning Demystified
The “deep” in deep learning refers to the number of hidden layers involved in the design. Deep learning is a way of training artificial intelligence (AI) to recognize specific data, such as speech or faces, and to make predictions based on previous experiences. Unlike machine learning, which organizes and sends data through predefined algorithms, deep […]
Working with Metadata Management Frameworks
Metadata Management will grow into 2021 and beyond. According to a DATAVERSITY® Trends in Data Management Report, 84 percent of business respondents had a Metadata Management initiative in place or had plans for one. MarketWatch, a consulting firm, expects massive growth by 2026. How much success a company will have with Metadata Management will depend […]
Cybersecurity Best Practices for Data Protection
Click to learn more about author Ashley Lukehart. As the average cost of a data breach reaches $3.86 million, the need for cybersecurity preparedness is more pressing than ever. Just like the data, the cybersecurity perimeter should no longer be confined to the physical boundaries of the organization. Data is everywhere and so should be your […]
What Is a Property Graph?
A property graph is a type of graph model where relationships not only are connections but also carry a name (type) and some properties. A property graph excels at showing connections among data scattered across diverse Data Architectures and data schemas. They provide a richer view on how data can be modeled over many different […]
Prescriptive Analytics Use Cases
The term “prescriptive analytics” denotes the use of many different disciplines such as AI, mathematics, analytics, or simulations to advise the user whether to act, and what course of action to take. In that sense, prescriptive analytics offers an advisory function regarding the future, rather than simply “predicting” what is about to happen. This newer […]
Stepping into Web Data Parsing: An Overview
Click to learn more about author Juras Juršėnas. As far as I can remember, the usefulness of online public data was always pitched against the efforts of extracting and structuring it. However, going from raw data to a well-structured and parsed output takes a considerable amount of time, effort, and resources. Even once the initial […]
A Brief History of Microservices
The history and origins of microservices are a continuing effort to provide better communication between different platforms, greater simplicity, and more user-friendly systems. Microservices are typically thought of as a software development technique which organizes an application as a group of loosely coupled services. It is, however, any kind of small service which interacts with […]
Managing Data Governance Throughout the Data Lifecycle
Companies rely on Data Governance, the formal Data Management of people, technology, and practices, to balance data risks and opportunities. Managing Data Governance takes on even more importance across the data lifecycle, from data planning to data disposal, as shown in the diagram below Organizations tend to neglect more comprehensive Data Governance throughout the lifecycle. […]
Dear Laura: Our Data Governance Leader Quit
Click to learn more about author Laura Madsen. Welcome to the Dear Laura blog series! As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote […]