Systems | Development | Analytics | API | Testing

What does the rise of data streaming mean for software and data professionals? A once-in-a-generation paradigm shift is giving rise to a brand new role: the Data Streaming Engineer. Come hear from your fellow technologists how this new role is bringing together the work of application developers, data engineers, data scientists, and architects, and how it might describe the work you're already doing. Along the way, we'll get a survey of the current state of the technologies underlying the emerging Data Streaming Platform, and how you can prepare to use them in the coming year.

Software Engineer, Bloomberg), Vahid Hashemian (Tech Lead, Pinterest), and Sumedh Sakdeo (Sr. Staff Software Engineer, LinkedIn & Creator of OpenHouse)..

AI isn’t going to replace software engineers. @David Morgenthaler explains that while AI might change the landscape, it’s about augmentation, not replacement. Here’s why: Learn more about the future of AI in software development in the full episode of Test Case Scenario.

This video briefly describes the Explain-ability data also known as SHAP data. Next video will be released shortly!

The Confluent Q3 ’24 Launch is packed with the new features and tools needed to make stream processing a developer’s best friend. We’re also introducing Client-Side Field Level Encryption, WarpStream, and more! Our quarterly launches provide a single resource to learn about the accelerating number of new features we’re bringing to Confluent Cloud, our cloud-native data streaming platform.

Integrating TestComplete with GitHub Actions can help you manage and run your tests more effectively and efficiently in a CI/CD environment, all while maintaining robust security and minimizing infrastructure costs.

"Push on green" isn’t about rushing code to production—it’s about smart automation. @David Morgenthaler breaks down how @Indeed balances automation with the need for human oversight: Watch the latest episode of Test Case Scenario to understand why automation and human expertise have to go hand-in-hand for quality software development.

With infrastructure spending rising, optimizing data infrastructure expenses has become a critical priority for business, technology, and data leaders. Join us for an insightful webinar on Mastering Data Infrastructure Cost Management with industry experts Sonny Rivera, CPO at Tifin AG and Snowflake Data Superhero, and Sid Lasley, VP of Solution Engineering at Hevo Data. Discover how to maximise the value of your investments in data infrastructure by navigating the complexities of cost management across multiple cloud service providers.

Is speed more important than quality in software development? While getting products to market quickly is tempting, cutting corners on quality can lead to costly bugs and system failures that may result in a large-scale failure and damage your reputation. The real solution? Investing in more QA professionals to ensure your software is both fast and flawless. QA is not just about finding bugs; it's about ensuring the overall health and success of a software project.

Hosted By: Joe Colantonio, Founder, Test Guild Mac Clark, Senior Solutions Engineer, Sauce Labs Gabe Kaufman, Product Marketing Manager, Sauce Labs Background: Engineering efficiency has never been more important for keeping quality high, increasing time-to-value, and ultimately scale. In this session, we will explore how engineering efficiency plays into a continuous quality strategy while also optimizing CI/CD pipelines.