Systems | Development | Analytics | API | Testing

How to See all the Companies who saw your Content on LinkedIn with Databox | Data Snacks

Want to see more than 25 companies in your LinkedIn Ads report? In this tutorial, Jason Spooner, Founder of Jars Digital, shares how he uses Databox to unlock the full picture of company-level performance from LinkedIn campaigns. He walks through how to create a custom metric that reveals the real exposure of your campaign, including clicks that fall below LinkedIn's reporting minimum. Perfect for marketers and agencies who want better insight, smarter exclusions, and tighter alignment between ad performance and pipeline results.

Modernizing Oracle testing: 2 organizations, 2 approaches

When Oracle updates hit, many IT teams brace for impact. Backlogs swell, manual checks slow releases, and a patch that should take hours can stretch into days. For enterprise teams running Oracle at scale, outdated testing tools can be inefficient, costly, and difficult to manage. At Oracle AI World, two global organizations shared the stories of how they moved past those bottlenecks.

Best of 2025: Everything You Missed in 15 Minutes | Life Is But A Stream

In 2025, real-time data moved from important to mission-critical. From billion-event pipelines to AI agents reasoning over fresh data streams, the conversations this year revealed just how fast organizations are rethinking their data infrastructure and what’s possible when data streaming becomes the foundation.

Inside Life Is But A Stream: A Year in Review (Real-Time Data and AI) | Confluent Podcast

Technology leaders share how they process streaming events end-to-end in sub-second latency, secure sensitive data through immutable and governed pipelines, power secured real-time systems in regulated environments, and enable multi-agent AI systems built on fresh, continuously streaming data.

How AI Transforms Retail, Finance and Manufacturing in 2026

In this episode, Dana Gardner sits down with three industry experts from Snowflake: Rosemary DeAragon, Rinesh Patel, and Tim Long to explore how AI will transform retail, financial services, and global manufacturing in 2026. Together, they break down the forces reshaping consumer behavior, enterprise operations, and competitive dynamics across these sectors. Across all three industries, one theme is clear: in 2026, AI will no longer be a side experiment. It will be a foundational driver of growth, efficiency, and competitive advantage.

Architecture Diagramming: From L0 to Ln - Simplifying for Every Audience #WordsUnplugged

Architecture diagrams are crucial, but the complexity of modern systems demands a better way to communicate. WSO2 CTO *Asanka Abeysinghe* and Lead Solutions Engineer *Erandi Ganepola* break down the L0-Ln Methodology—a simplified, level-based approach to visual abstraction. Watch our Words Unplugged video to discover how this scales from a team view to an organization-wide enterprise architecture, providing durable anchors (L0) and change-friendly details (L1-Ln) that evolve with the business.

How to Test Your React Frontend When the Backend Is Offline #speedscale #frontend #backend #coding

Software development is hard, especially when you have to ensure every component works together; it's an integration maze! And running a full stack (like React, Go, and Postgres) on your dev machine often means one thing: running out of memory! The Fix: We'll show you how to use Proxymock to record your components, effectively letting you run the frontend (or any component) completely isolated.

Streamline Code Testing with Proxymock

Tired of complex setups and running out of memory just to test one component? Learn how to use Proxymock (a FREE tool) to solve your biggest testing headache: component isolation! This demo shows you how to record and mock interactions across a complex React, Golang, and PostgreSQL stack, allowing you to find bugs before they ever hit production. In This Demo: This strategy lets you easily isolate components, simulate customer behavior, and ensure quality with lightning-fast local testing.

The $11 Billion Question: What the acquisition of Confluent by IBM means

What’s remarkable is how long Confluent competed at the highest level. Creating a category and type of application is hard; transitioning to cloud and surviving against hyper scalers is even harder. That alone is a huge achievement. Some see this as a pressured exit. But another way to look at it is as a strategic purchase by IBM to strengthen its position in enterprise data movement and integration.