The pre-digital card catalogs of libraries offer a good example of metadata (title, author, copyright, location on shelf). Metadata essentially means “data offering information about the data” or simply “data about data.” It is also often defined as “data in context,” since it supplies the “what, where, when, why, and how” of data. Metadata is […]
Data Modeling and NoSQL: Innovation and Flexibility
Hackolade offers an array of Data Modeling tools designed for various NoSQL databases. Their software is user-friendly, while providing powerful graphics. These features, combined with flexible HTML model documentation, provide a visual blueprint for each application. Hackolade’s output is similar to a CAD printout produced by a draftsman or architect. The blueprint promotes discussion. Pascal […]
A Brief History of Non-Relational Databases
First came relational databases, which provide a useful comparison for understanding non-relational databases. Invented by Edgar F. Codd in 1970, the relational database arranges data into different rows and columns by associating a specific key for each row. Almost all relational database systems use Structured Query Language (SQL) and are remarkably complex. They are traditionally […]
Analytics and Machine Learning at Georgia Institute of Technology
A solid Computer Science education at Georgia Tech has been available since 1964, with the start of their Information Science program. By 1970, it had become the School of Information and Computer Science (ICS), offering bachelor’s degrees in information science and doctorates in ICS. The College of Computing continues to maintain a leadership role, expanding […]
Big Data vs. Smart Data
Big Data describes massive amounts of data, both unstructured and structured, that is collected by organizations on a daily basis. This Big Data can then be filtered, and turned into Smart Data before being analyzed for insights, in turn, leading to more efficient decision-making. Smart Data can be described as Big Data that has been […]
Scalable Graph Database Technology: Combining Big Data and Real-Time Analytics
In February of 2018, TigerGraph released the 2.0 version of its Graph Database platform, described as “the next evolutionary step for Graph Databases.” TigerGraph was founded by its CEO, Dr. Yu Xu, in 2012. He is an expert in parallel database systems and Big Data. In 2011, while working Twitter, he said he discovered Graph […]
Data Science Collaboration: How to Centralize Data Science to Power Organizations
Domino Data Lab provides a Data Science platform that empowers organizations to drive their business through the use of predictive models. The platform accelerates breakthrough research and increases collaboration and productivity of data scientists. The company was founded in 2013 and is based in San Francisco. Organizations can use Domino Data Lab on-premises or in […]
Big Data Use Cases: Developing a Smarter World
Growing concerns about climate change, pollution, and energy costs have prompted new paradigms of consumption and sustainability to crystallize. In response to evolving concerns, a number of countries and large cities have focused on the development of Smart Cities and Smart Grids, using technology to support an infrastructure managed by Artificial Intelligence and Big Data […]
IT and Data Education Predictions: Democratizing Tech Skills
In five to ten years, said Johan den Haan, the CTO in charge of R&D and Cloud Operations at Mendix, the number of computer scientists and data professionals using 3gl programming languages (Java, BASIC, C+) “will not” grow that much. Instead, this limited number of them will focus on creating the engines and compilers, and […]
The Future of Big Data: Next-Generation Database Management Systems
In 2009, the U.S. Army Intelligence and Security Command wanted the ability to track, in real-time, national security threats. Potential solutions had to provide instant results, and use graphics to provide insight into their extremely large streaming datasets. At the time, there was nothing available to meet their needs. Both NoSQL solutions and classical relational […]