“The data integration tool market is seeing renewed momentum, driven by requirements for hybrid and multi-cloud data integration, augmented data management, and data fabric designs.” This is what Gartner assesses in its latest Magic Quadrant for Data Integration Tools* report. And that assessment makes perfect sense. Data is the lifeblood of an organization.
The shift to cloud has been accelerating, and with it, a push to modernize data pipelines that fuel key applications. That is why cloud native solutions which take advantage of the capabilities such as disaggregated storage & compute, elasticity, and containerization are more paramount than ever. At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges.
At Airflow Summit 2021, Unravel’s co-founder and CTO, Shivnath Babu and Hari Nyer, Senior Software Engineer, delivered a talk titled Lessons Learned while Migrating Data Pipelines from Enterprise Schedulers to Airflow. This story, along with the slides and videos included in it, comes from the presentation.
Web accessibility testing, also known as digital accessibility testing, is a subset of usability testing that ensures anyone can access and use your digital content (website, apps, etc.) at any time. This includes people with disabilities such as vision, hearing, literacy, physical, and cognitive disabilities. With around (or over 1 billion people) living with a disability, the calls for inclusion are growing louder by the day.
Four technology leaders discuss the modern data stack — and agree that multi-cloud is the best option.
When implemented right, shift left testing can really help organizations achieve their quality goals faster and better. And to help that along, a valuable tool is needed too. All test automation tools are not made to shift your testing left so this is a crucial decision. In this blog, we will discuss how Testsigma supports shift-left testing. Let’s start by clarifying what is shift-left first.
Good logging practices are crucial for monitoring and troubleshooting your Node.js servers. They help you track errors in the application, discover performance optimization opportunities, and carry out different kinds of analysis on the system (such as in the case of outages or security issues) to make critical product decisions. Even though logging is an essential aspect of building robust web applications, it’s often ignored or glossed over in discussions about development best practices.