DevOps is all the rage right now, and it is only the beginning. In this blog, I’ll cover how to get started with Talend continuous integration, delivery and deployment (CI/CD) on Azure. The first part of the blog will briefly present some basic DevOps and CI/CD concepts. I will then show you how the Talend CI/CD architecture and how it fits in Azure ecosystem with a hands-on example.

Software vendors that are looking to accelerate their path to AI need to take advantage of the AI already in analytics platforms. Gartner believes that the future of analytics is augmented. That is, analytics will be AI-driven and all end-to-end use cases will be automated. I also believe it won’t be long before analytics is no longer on our desktops - instead it’ll be embedded in applications.

I am very excited to introduce Pipeline Designer, a next-generation cloud data integration design environment that enables developers to develop and deploy data pipelines in minutes, design seamlessly across batch and streaming use cases, and scale natively with the latest hybrid and multi-cloud technologies.

If, as we saw in part one of this series, 77% of businesses are 'definitely not' or 'probably not' using analytics to its full extent and the adoption rate of analytics platforms is an abysmal 32%, something drastic needs to happen. Can the era of augmented analytics with its machine learning and AI fix this adoption issue?

In our recent poll on the health of the QA industry, we found that over half of all QA teams surveyed are not very confident in their ability to ensure a high-quality product. Having a high degree of confidence in your QA process is important, as it helps you ensure that every deployment goes smoothly and that resources are being allocated efficiently.