Systems | Development | Analytics | API | Testing

PHP Support for Enterprise Applications

Building secure and observable systems is essential, but what happens when issues arise in your enterprise applications? In this clip from “How to Build a PHP Security Roadmap,” Zend Principal Product Manager Matthew Weier O’Phinney explores strategies and PHP support options for identifying and resolving issues in your enterprise PHP applications.

Why Apache Iceberg & Open Lakehouse is the Foundation for Data & AI Workloads

In this discussion, Dipankar - Cloudera’s Director of Developer Relations sits with Navita - Director of Product Marketing to unpack why Apache Iceberg has emerged as the foundation of the open lakehouse - and why it’s increasingly essential for modern Data & AI workloads. Dipankar & Navita walks through how Iceberg became the de facto standard among open table formats, what it's design enables (interoperability, engine-agnostic access, reliable metadata), and why openness matters as organizations move toward multi-engine, hybrid data architectures.

How to Coach Sales Reps using Activity, Conversion, and Revenue Data | Data Snacks

In this video, Zorana, Sales Manager at Databox, walks through how she uses a single dashboard to understand sales performance beyond revenue alone. She explains how combining activity metrics, conversion indicators, and revenue outcomes by rep helps her identify who needs coaching, what kind of coaching is required, and where to focus her time each week. You’ll see how trend comparisons highlight improvement or decline early, how gaps between effort and results guide decisions, and how viewing team-wide performance can signal broader process issues.

Hevo demo days: Live workshop- build a production-ready Pipeline in 10 minutes.

Data drives every strategic move today, from real-time customer experiences to AI that powers business outcomes. But the infrastructure behind that data is often anything but modern. Pipelines are fragile, visibility is limited, and every schema change or API hiccup turns into engineering firefighting. Hours get lost to manual fixes and maintenance instead of innovation. When reliable data depends on constant human attention, the pace of the business suffers.