The Internet of Things (IoT) has broken out from its smart home roots to become a full-fledged game changer in the worlds of cloud computing and data management. As 5G brings a dynamic level of speed ...

Real-time data processing is the handling of data as it arrives, so it is available for use almost as immediately as it is created and collected. This term is most often used in the context of a ...

Metaverse, a combination of ‘meta,’ meaning beyond, and ‘universe,’ is a term coined by Neal Stephenson, a science fiction writer, in his 1992 novel Snow Crash. Today, the term has a lot more than ...

IT is a critical part of most businesses, especially as remote work becomes more permanent. The IT team handles software implementation, technical support, device maintenance and acquisition, and ...

At its core, DevOps is a philosophy that emphasizes communication and collaboration between development and operations teams and continuous testing and release of new features on a regular basis. And ...

If you want your teams to focus on front-end development and services, you might consider serverless computing. Serverless computing refers to outsourcing IT infrastructure to external providers. It ...

A new study on immigrant entrepreneurship has found that the proportion of immigrant-founded high-tech startups in the United States has stagnated, and that it’s starting to decline. The study, ...

Machine learning (ML) teaches computers to learn from data without being explicitly programmed. Unfortunately, the rapid expansion and application of ML have made it difficult for organizations to ...

In this data-driven age, enterprises leverage data to analyze products, services, employees, customers, and more, on a large scale. ETL (extract, transform, load) tools enable highly scaled sharing of ...

Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

The enterprise landscape is changing, and along with it cybersecurity needs. Employees are increasingly remote, applications are moving to the cloud, and IT infrastructure is becoming more complex, ...

Big Data analytics requirements have forced a huge shift in data storage paradigms, from traditional block- and file-based storage networks to more scalable models like object storage, scale-out NAS ...