Data is back, baby! Well, that seems like an odd statement. It never quite left. Nevertheless, Google’s recent acquisition of Looker and Salesforce’s acquisition of Tableau seems to highlight this mindset in magnified ways. With eyes set on new leaps in data science and artificial intelligence, it’s easy to understand how our views on data […]
Fast Data is Forcing New Strategies in DevOps
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 […]
Application Performance Management for DataOps
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 request response times and error messages, thus providing relevant data to be analyzed by the DevOps team, which then can make the appropriate […]
Kentik: Cloud Native Applications Need Network Analytics
Moving everything into the cloud seems to have taken the spotlight from the network. As the internet is ubiquitous, who worries about the networks? Kentik has a notion that in the age of cloud native, network analytics are as important as ever. In fact, network analytics may be more important than ever. I sat down […]
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 […]
Ensure Your AI is Working for Your Data Team
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 the AI tools it uses are actually advancing its DataOps goals? A hard pill to swallow is that even the best-designed algorithmic decision-making […]
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 […]
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