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. […]
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 […]
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 […]
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 […]
Data Container Architecture: Answers and Challenges
Data containers are a recent step in the evolution of the cloud. Their purpose is to run reliably as they are transferred from one computer environment to another. They are isolated, improve security, and are “usually” easy to work with. Containers promote application portability through their novel use of packaging, and the philosophy of “develop […]
A Brief History of Data Management
Data Management is the organization of data, the steps used to achieve efficiency, and gather intelligence from that data. Data Management, as a concept, began in the 1960s, with ADAPSO (the Association of Data Processing Service Organizations) forwarding Data Management advice, with an emphasis on professional training and quality assurance metrics. Data Management should not […]
The Importance of Graph Databases in Business Analytics
Augmented analytics is one of the top 10 technologies Gartner identified with the potential to cause significant digital disruption in the next three to five years. The hallmark of augmented analytics is its high reliance on AI and ML technologies. AI and ML together will transform enterprise Data Management in the coming years, and many […]
Case Study: Cornell University Automates Data Warehouse Infrastructure
Cornell University is a privately endowed research university founded in 1865. Ranked in the top one percent of universities in the world, Cornell is made up of 14 colleges and schools serving roughly 22,000 students. Jeff Christen, data warehousing manager at Cornell University and adjunct faculty in Information Science, and Chris Stewart, VP and general […]
Case Study: Polaris Puts Data Analysis in the Service of Defeating Human Trafficking
Human trafficking is believed to be the third-largest criminal activity in the world, according to the FBI. The Department of Homeland Security advises that industries around the world including agriculture, hospitality, restaurant, and domestic work, as well as prostitution, often take advantage of modern slavery. Those pulled into this underworld are often held in isolation […]
Emerging Cloud Computing Technologies
It has taken many years for cloud computing technologies to mature and become mainstream in global businesses. Now the skeptics have stopped questioning the long-range sustainability of the cloud ecosystem, but it remains to be seen how allied technologies like edge, serverless, IoT, AI, and big data can together fulfill enterprise business needs. Many cloud […]