At Cloudera, we’re known for making innovative technological solutions that drive change and impact the world. Our mission is to make data and analytics easy and accessible to everyone. And that doesn’t end with our customer base. We also aim to provide equitable access to career opportunities within data and analytics to the workforce of tomorrow.
As we continuously improve Choreo's capabilities, we're excited to introduce a significant new addition: Deployment Tracks. This empowers users to achieve backward-compatible API releases, ensuring a smoother experience for API publishers and API consumers alike. This transition will entail minor user interface (UI) changes in the Choreo console for your existing components.
Whether you're familiar with job schedulers or new to the concept, two popular libraries in the Node.js ecosystem stand out: Bull and Agenda. These libraries provide unique features and advantages when it comes to efficient job scheduling. Let's explore the ins and outs of Bull and Agenda! 🚀
Database testing is the process of evaluating the accuracy, reliability, and performance of a database system. Its purpose is to ensure that the data stored there is consistent, valid, and can be correctly manipulated for business needs. The components to be tested are usually database schema, tables, and database triggers. Testers leverage SQL queries, data comparison tools, automation frameworks, or load testing tools to examine the data integrity, validity, security, performance, and structure.
There is no doubt about it: Artificial Intelligence (AI) and Machine Learning (ML) has changed the way we think about software testing. Ever since the introduction of the disruptive AI-powered language model ChatGPT, a wide range of AI-augmented technologies have also emerged, and the benefits they brought surely can’t be ignored. In this article, we will guide you to leverage AI/ML in software testing to bring your QA game to the next level.
