Historically, Database Management systems (DBMS) were simple software programs and associated hardware that allowed users to access data from different geographical locations. The system offers its users the ability to store data without concerns about structural changes, or the data’s physical location. Additionally, a Database Management system (DBMS) can set restrictions on the data being […]
Data Governance Tools Support Data Management
Data Governance, and the tools supporting it, reflect the growing importance of “automated services” when dealing with the laws and regulations that have been developed to protect privacy and societal norms. Data Governance has become a necessity for organizations using the internet. It is a collection of rules, policies, and standards designed to improve Data […]
A Brief History of Artificial Intelligence
In 1950, a man named Alan Turing wrote a paper suggesting how to test a “thinking” machine. He believed if a machine could carry on a conversation by way of a teleprinter, imitating a human with no noticeable differences, the machine could be described as thinking. His paper was followed in 1952 by the Hodgkin-Huxley […]
A Brief History of the Internet of Things
Simply stated, the Internet of Things consists of any device with an on/off switch that is connected to the Internet. The Internet of Things (IoT) involves machines communicating information over the internet, and has not been around for very long. Machines have been providing direct communications since the telegraph (the first landline) was developed in […]
Data Management Trends in 2022
Data Management is about collecting, storing, and using data efficiently, securely, and in a cost-effective way. More and more, organizations are shifting to scalable Data Management platforms (in the cloud) to govern, secure, and analyze data. This allows them to process their business functions with a single unified platform. Data Management platforms provide increased control, […]
Property Graphs vs. Knowledge Graphs
One of the greatest strengths of graph databases is their ability to treat “relationships” between the data as being as important as the data itself. They show a visual image of a graph in response to queries. Graph databases are designed to hold data without restricting it to a fixed, predetermined model. As a consequence, […]
Data Modeling Trends in 2022
A data model should show the relationships that exist between various customers, concepts, products, among many. Data Modeling describes the creation of a visual representation (a chart or diagram) of a data system, or parts of that system. It is used to display and communicate connections between objects/concepts and shows their relationships. The goal of […]
Advances in Data Architecture
The continuous growth of data has led to large corporations investing heavily in technologies around large data volumes, allowing them to gain useful business intelligence that was unavailable to their smaller competitors. The evolution of public clouds has made big data technologies accessible to small businesses and startups. By using new advances in Data Architecture, […]
A Brief History of Cloud Computing
In 1963, DARPA (the Defense Advanced Research Projects Agency) presented MIT with $2 million for Project MAC. The funding included a requirement for MIT to develop technology allowing for a “computer to be used by two or more people, simultaneously.” In this case, one of those gigantic, archaic computers using reels of magnetic tape for […]
A Brief History of Machine Learning
Machine learning (ML) is an important tool for the goal of leveraging technologies around artificial intelligence. Because of its learning and decision-making abilities, machine learning is often referred to as AI, though, in reality, it is a subdivision of AI. Until the late 1970s, it was a part of AI’s evolution. Then, it branched off […]