Artificial intelligence (AI) is making all the difference between innovators and laggards in the global marketplace. Yet, implementing a state-of-the-art DataOps operation involves a long-term commitment to putting in place the right ...

Unless you are an alien life form who just beamed down from space, you've heard all about the why of moving data workloads to the cloud. The cloud is a more scalable, ...

Over the years, application performance management (APM) tools have been utilized typically to measure and monitor the performance of software such as web applications. They do so by tracking such things as ...

If you’re a DevOps engineer, you probably don’t think of data operations as a key part of your job. You help to write code and deploy and manage applications, while someone else ...

AI tools hold great promise for DataOps. They can help teams identify the best apps to migrate, identify optimum cloud infrastructure and even validate decisions. But how can an IT team ensure ...

To seasoned IT engineers, DataOps may not sound very difficult. After all, if you work in IT, you know all about managing databases, provisioning data storage, moving data around and so on ...

Data Operations, or DataOps for short, is one of those IT buzzwords that lots of people use, yet few can define precisely. Like the cloud or DevOps, DataOps doesn’t make sense until ...

Big data is an older fashionable term that, when combined with agile methodology, AI and ML and analytics, has become a powerful trend once again in data operations (DataOps). If you’re a ...