Automation is the way of the future with 68 percent of global employees believing that automation will help them be more productive at work. But figuring out how to add automation to workflows can be ...

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, ...

In a world where data breaches are becoming increasingly common, it’s essential to take steps to protect enterprise information. That’s where data loss prevention tools come in. These tools can help ...

Keeping up with the ever-changing IT needs of a growing business can be a logistical nightmare. That’s why so many organizations have outsourced IT management to managed service providers (MSPs).

Mark Zuckerberg introduced Facebook’s rebranding to Meta at the company’s annual Connect event last year to reposition the company for the “new internet,” the metaverse. Today AI is one of the most ...

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

Data lakes have become a critical solution for enterprises to store and analyze data. A cloud data lake solution offers a number of benefits that make it an ideal tool for managing and processing data ...

Modern companies, both small and large, require more software and tools to compete in an ever-changing marketplace. A particularly valuable tool is software that handles Governance, Risk, and ...

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 ...

Odds are your business employs some method of operational analytics or uses another closely related method of data processing with a different name. Whether it’s called hybrid transaction and ...

The concept of the data fabric emerged in 2015 from NetApp. It was later redefined after three years as implementations matured. And as the rest of the data storage industry pushed their own data ...

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 ...