Since the term’s inception in the late 2000s, “DevOps” is by far the most common approach to product development. During the last 15 years, DevOps processes have evolved to new speeds and scales, with ...

DevOps isn't just for application deployments, it also applies to database development. DataOps is a variation which encourages automating the flow of data through enterprises, from source to storage.

It’s a generally accepted maxim that the business community’s fascination with big data, which started in the mid-2000s, ran out of steam about five years ago. But that’s only partly true. While the ...

In 2026, the teams that win prioritise signal depth, operational integration, and contextual engagement over raw contact volume.

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

DevOps is becoming the new normal in application development, and DevSecOps is now entering the picture. By balancing the desire to release code faster with the need for the same code to be secure, it ...

Last week’s Informatica World 2016 brought out a lot of talk involving data quality, real-time live data and the automation of ingesting and analyzing data in order to turn it into something ...

The number of enterprise developers and their teams adopting DevOps practices across both applications and databases saw something of a spike last year, a Redgate Software survey concluded. This ...

Fusion IT methodologies that blend previously siloed processes to speed innovation and streamline deployment are on the rise. While DevOps is perhaps the most widely recognized hybrid process, there ...

Data science and machine learning are often associated with mathematics, statistics, algorithms and data wrangling. While these skills are core to the success of implementing machine learning in an ...