Systems | Development | Analytics | API | Testing

kong

Enforce API Standards with Custom Linting in Kong Insomnia 13

Jul 17, 2026 By Juhi Singh In Kong
As APIs grow across teams, keeping them consistent becomes difficult. Some APIs follow naming conventions and include clear descriptions, while others don’t. Over time, these differences make APIs harder to understand, review, and maintain. That is where API linting helps. That made it possible to apply custom Spectral rules as part of local development, Git workflows, or CI checks.. Teams can now upload and manage custom Spectral rulesets directly from the Insomnia UI.
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Xray Summer'26 Product Release | Xray Webinar

Jul 17, 2026 By Xray In Xray
Discover everything that's new in Xray's Summer '26 Product Release and see how the latest AI innovations are helping QA teams test smarter, deliver faster, and maintain complete quality visibility inside Jira. In this webinar, Product Marketing Manager Tonislava Docheva and Product Manager Bernardo Cottim Dias walk through the newest capabilities in Xray, including live demos, product updates, and a preview of what's coming next.
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How Cloudera Powers Agentic Workflows? #DataInMotion #Cloudera

Jul 17, 2026 By Cloudera, Inc. In Cloudera
Ready to eliminate data delays and fuel your AI models with trusted, real-time insights? In this video, we break down how Cloudera Data in Motion allows organizations to unlock the full potential of their data fabric. Whether your corporate datasets are scattered across diverse storage systems, multiple cloud vendors, or on-premises data centers, Cloudera provides the scalable, engine-agnostic data services required to stream and process information instantly—without needing to redesign or refactor your existing pipelines.
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hitachi vantara

The Reason Behind Stalled AI Projects

Jul 17, 2026 By Andy Gremett In Hitachi Vantara
As enterprises race to adopt AI, weak data foundations are preventing more than half (58%) of organizations in the United States and Canada from realizing value and contributing to an estimated $108 billion in wasted global AI investment each year, according to a report from Hitachi Vantara. The reason is rarely bad models or lack of ambition.
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qlik

Why It Matters: Data and AI Literacy Is Now a Business-Critical Skill

Jul 16, 2026 By Angelika Klidas In Qlik
One thing has become increasingly clear to me: the businesses that thrive in the AI era won't be the ones with the most data, they'll be the ones where every employee knows how to use it. The World Economic Forum's 2025 Future of Jobs Report names analytical thinking as the top core skill companies need today, and a 2024 Gartner survey found poor data literacy to be one of the top five obstacles to analytics success.
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integrate

How to Replace Custom Python or PowerShell Scripts for Client Data Ingestion

Jul 16, 2026 By Donal Tobin In Integrate
The fastest way to replace custom Python or PowerShell scripts for client data ingestion is to move each script's logic into a reusable, config-driven pipeline that stores connection details, field mappings, and schedules as metadata instead of code. This guide is for data integration managers and engineers who currently maintain a script per client or per source system. After following it, you'll have a repeatable pattern for onboarding new clients without writing a new script for each one.
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What Is the Strangler Fig Pattern?

Jul 16, 2026 By Perforce In Perforce
In this clip from a recent webinar, “From Legacy to Long-Term Stability: Practical Strategies for Web App Framework Migrations,” Zend Senior Solutions Engineer Yeshua Hall explores the strangler fig pattern, one of the most widely recommended strategies for web application and PHP framework migrations. This clip covers how the strangler fig pattern works, why it reduces migration risk, and how you can test, deploy, and validate changes throughout your migration.
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Extracting and Harvesting Metadata for Cloudera Data Lineage

Jul 16, 2026 By Cloudera, Inc. In Cloudera
This is a comprehensive walkthrough of the metadata extraction process for Cloudera Data Lineage. Learn how to utilize the harvesting agent to set up a new metadata source, such as Informatica Oracle, and perform a local extraction. The video demonstrates how the agent securely reads metadata from databases, ETL tools, and reporting systems, staging it as local XML files to ensure data does not leave the network without explicit action.
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