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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 ...

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 ...

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 ...

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 ...

At BlackBerry’s analyst summit this week, a great deal of time was spent on the company’s secure QNX operating system, its IVY platform for software management on cars, and other tools and utilities ...

Businesses have always been data-driven. The ability to gather data, analyze it, and make decisions based on it has always been a key part of success. As such, the ability to effectively manage data ...

As everything from our day-to-day activities to manufacturing to consumption has entered the digital age, intelligently automated yet interconnected industrial production—also known as Industry 4.0 ...

Tools that clean or correct data by getting rid of typos, formatting errors, and unnecessary and expendable data are known as data quality tools. These tools help organizations implement rules, ...