Lifecycle management is important in product development today. But how do you manage a lifecycle? And what are the different types — and lifecycle management tools — you need to know? That’s what we break down in this blog.
But low-code automation can help. Amid the pandemic, banks are under enormous pressure to comply with stricter regulations and keep up with growing demand for new lines of credit. Here’s Appian Financial Services Industry Lead in Europe, Herbert Schild, on how low-code automation can help at a critical time. What are the challenges with issuing rapid stimulus loans?
Soft skills can be almost as important as data engineering skills when you apply for a job. Soft skills can make the difference between stress and efficiency or being unsatisfied with your position and a raise. When data engineers and data scientists earn bachelor’s degrees, they usually take classes in topics like data warehousing, programming languages, machine learning, and data science.
Like most of our customers, Cloudera’s internal operations rely heavily on data. For more than a decade, Cloudera has built internal tools and data analysis primarily on a single production CDH cluster. This cluster runs workloads for every department – from real-time user interfaces for Support to providing recommendations in the Cloudera Data Platform (CDP) Upgrade Advisor to analyzing our business and closing our books.
Although the title might sound like a collaboration of two music bands with really bad names, this blog is all about understanding how computer vision and machine learning can be used to improve safety and security in a harsh and dangerous environment of a construction site. The construction industry is one of the most dangerous industries according to the common stats from OSHA.
Sometimes using a graphical user interface isn’t enough to fulfill your daily tasks, especially when you start automating your testing routines. Imagine a scenario, when you perform a regression test on a piece of functionality every time you push a new release or merge your code to a particular branch. It would be a nightmare to manually run those tests every time, especially if your team is rather large and you’re practicing continuous delivery.
The more services you have running across different clouds and Kubernetes clusters, the harder it is to ensure that you have a central place to collect service mesh observability metrics. That’s one of the reasons we created Kuma, an open source control plane for service mesh. In this tutorial, I’ll show you how to set up and leverage the Traffic Metrics and Traffic Trace policies that Kuma provides out of the box. If you haven’t already, install Kuma and connect a service.
Digital twin technology has been around for years. But recently, industries have started to leverage it as a cost-effective method for creating prototypes to test, analyze, and study real-world simulations. Learn more about digital twins and get digital twin examples to learn how they could help you build bigger and better products.
Ever since Salesforce acquired Heroku back in 2010, the two services have worked exceptionally well together. Businesses can use Heroku to build flexible and scalable applications while utilizing Salesforce to manage customer data and drive sales. And when you need to share data between these two platforms, there’s a dedicated add-on: Heroku Connect.
