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 […]
Case Study: Indiana University, Data Virtualization, and The Decision Support Initiative
“We can throw business intelligence tools at problems and we can have really smart technicians write code but if it’s not serving the needs of the business and actually answering questions that people need to know, then ultimately, our work is futile,” said Dan Young, Chief Data Architect at Indiana University (IU). Young said that […]
So You Want to be a Data Manager?
A data manager develops and governs data-oriented systems designed to meet the needs of an organization or research team. Data Management includes accessing, validating, and storing data that is needed for research and day-to-day business operations. Currently, a wide array of organizations are using big data to gain insights into customer behavior and to provide […]
Data Management Platform Solidatus Welcomes Its First Chief Data Officer
Solidatus, a Data Management platform based in London, England, recently welcomed its first chief data officer (CDO). Lorraine Waters, the former global chief data officer at HSBC, will fill this senior-level role, which more and more companies are embracing to help bridge the gap between technology and business and to get the most value from […]
Blockchain Offers Internet of Things Data Quality and Data Security
The rapid advances of blockchain technology and the Internet of Things are changing how business on the internet gets done. Blockchain provides superior data security and Data Quality and, as a consequence, is changing the way people approach big data. This can be quite useful, as security remains a primary concern for Internet of Things […]
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 […]
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 […]
Demystifying Data Architecture
Ludwig Mies van der Rohe said, “Architecture starts when you carefully put two bricks together”—and Data Architecture begins upon creating, storing, and putting two or more characters together, be they sets of records, emails, pictures, audio, video. This resonated well with initial thoughts about Data Architecture, as it is comprised of things, the functionality of […]
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. […]