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Massive Data Transformation With Pepsi | Rise of The Data Cloud Podcast

Interested in how to transfer e-commerce to the cloud, what data transformation looks like on a massive scale, and how to increase your ROI? In this episode, Vaibhav Kulkarni, Head of Data Products & Infrastructure Engineering at PepsiCo, talks about these topics and more. We hope you enjoy! Connect with Vaibhav Kulkarni

Test Reporting with Katalon TestOps - Act on Insights, Deliver with Quality.

TestOps is the leading test orchestration and reporting platform that puts messy test results into a full image on quality. With flexibile integrations popular frameworks like Selenium and Jest, let TestOps be an inseparable companion to enable rapid feedback loops and quality consistencies for your team.

[MLOps] The Clear SHOW - S02E13 - mlops_this: Copilot Shenanigans

Ariel should have known better than to mess with shitposts on mlops.community ;) Here is a ClearML pipeline integrated with the notorious mlops_this generated by GitHub's Copilot. ClearML is the only open-source tool to manage all your MLOps in a unified and robust platform providing collaborative experiment management, powerful orchestration, easy-to-build data stores, and one-click model deployment.

Verified Steps on Bitrise: Introduction

A Verified Step means that the owner of a service or tool or an open source team guarantees secure, maintained, consistent, and high-quality performance for any Bitrise user. Our official Bitrise Steps are maintained by us, whereas our Community Steps are maintained by the community. It’s easy to decide which type a Step falls into on our GUI. Thank you for watching! Please feel free to comment your thoughts below.

Data Theorem | Verified Steps on Bitrise

Data Theorem is a leading provider in modern application security with a core mission to analyze and secure any modern application anytime, anywhere. And guess what? You can find Data Theorem Mobile Secure in Bitrise's Step Library! While other security-focused Steps perform the security analysis during the build time — and making build times longer — this Step sends the artifact to Data Theorem. This way the build keeps running the regular way, regardless of the result of the analysis.