Systems | Development | Analytics | API | Testing

Together, Nixe and Cloudera empower organizations to modernize their data platforms, process data where it lives, and confidently evolve from batch to real-time analytics—without chasing technology trends.

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.

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.

Stop manual data wrangling and start architecting. Meet SpotterModel: your new modeling agent built to deliver instant, AI-ready data. It’s time to move beyond the "join-loop" and let AI handle the heavy lifting. Meet your new modeling agent today.

Building dashboards should be about finding insights, not fighting with software. SpotterViz is the agent that bridges the gap between raw data and a finished masterpiece.

Stop manual coding and start scaling. SpotterCode is your dedicated agent for building intelligent applications faster. Build smarter, faster. Meet SpotterCode.

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.