DevOps has established itself as a critically important discipline, developing and leveraging unique tooling and processes to deliver many types of applications more rapidly, efficiently and reliably. As data has become a more central component in these applications, DataOps has emerged to work hand-in-hand with DevOps to better support the role of data in the […]
3 Examples of AI at Work in DataOps
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 people, processes and tools that will deliver results. In this post, we look at three organizations that are doing cutting-edge work in the […]
How DevOps Teams Can Skill Up on DataOps
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 handles data management and analytics, right? Probably not. Although it might be comforting to imagine that every company has a dedicated team of […]
How IT Engineers Can Learn DataOps
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. How hard could DataOps be, really? The answer is, “Harder than you might think.” Even if you work frequently with data in the […]
The Taxonomy of DataOps
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 you sit down and really think through what it entails. To that end, let’s take a look in this article at the taxonomy […]
Unravel: A System Architect’s Guide to Data Operations
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 systems architect, it pays to understand the philosophies, benefits and tools to power DataOps and improve your data-driven applications. This article serves as […]