After the U.S. Office of Management and Governance issued the Open Data Policy, federal agencies set to the task of developing Enterprise Data Inventories to support a mandate of government transparency. The Department of the Interior (DOI) took this opportunity to create and implement a Metadata Management framework using an enterprise approach, properly documenting data […]
Graph Databases: Updates on Their Growing Popularity
Graph databases became recognized as a database design in 2006, when Tim Bernes-Lee developed the concept of a huge database called the “linked data.” This concept became the basis of graph storage, and could display how organizations, people, and items or entities are associated, or “interconnected” with one another, and the nature of the relationships. […]
Data Science vs. Business Intelligence
The growth of Data Science in today’s modern data-driven world had to happen when it did. If one really takes a careful look at the growth of data analysis over the years, without Data Science, traditional (descriptive) Business Intelligence (BI) would have remained primarily a static performance reporter within current business operations. With the rising […]
Data Architecture with Data Governance: A Proactive Approach
“Data Architecture is the physical implementation of the Business Strategy,” said Nigel Turner, Principal Consultant in E.M.E.A. at Global Data Strategy, speaking at the DATAVERSITY® Enterprise Data Governance Online Conference. “It’s a key part of the whole continuum that you need to build within an organization to manage data effectively,” and Data Governance forms an […]
Advances in Machine Learning
There is little doubt machine learning has become one of the most powerful technologies in the last decade. The emphasis on “learning” in machine learning allows computers to make better and better decisions, based on previous experiences. Advances in this technology have allowed for recent breakthroughs that promote faster and more efficient business intelligence, using […]
Data Management and the Internet of Things
Billions of things with sensors surround people and their lives. These Internet of Things (IoT) interact with people, homes, factories, workplaces, cities, farms, and vehicles. Gartner predicts that by 2021, IoT technology will be in 95 percent of electronics for new product designs, from wearables to medical devices and beyond. IoT promises useful information, allowing […]
A Brief History of Data Security
Data security describes the protection of digital data from a cyberattack or a data breach. A data breach is the unauthorized opening of data, typically to read or copy the information. Stolen data may contain confidential information, such as customer data, credit card numbers, or trade secrets. A cyberattack is much more aggressive. It is […]
Metadata Management and Analytics: What is the Intersection?
Metadata Management implies a set of activities, which administer data for better usage and outcomes. Thus, this practice involves establishing stringent roles, responsibilities, policies, and processes to ensure that data-driven information is available, accessible, sharable, and maintainable across an organization for the best analysis and application of such information in daily business. In that sense, Metadata […]
2020 DATAVERSITY Top 20
With 2020 now behind us, we here at DATAVERSITY are taking a moment to look back on the hits and misses of this unprecedented year. What content did you, our readers, seek out most during challenging times? Which topics helped you succeed as a data professional, and what should we focus more on in 2021 […]
Demystifying Master Data Management
Thomas Edison may have understood the importance of Master Data Management before the term was formally coined. He said, “The value of an idea lies in the using of it.” While ideas in the early 20th century relied on thoughts and things, ideas in this information age depend on data. Take reference data: unchanging tags […]