Systems | Development | Analytics | API | Testing

Just a month into the year, and a few weeks since the launch of Qlik Trends 2026, we’ve already seen just how fast the AI landscape can evolve. The emergence of Claude Cowork and Moltbook reflect the two ends of the spectrum when it comes to agent collaboration. After taking a breath to digest Dan Sommer’s fascinating webinar – check it out if you haven’t already – I’ve been reflecting on which trends are set to make the most impact this year.

Whether you’re streaming change data capture (CDC) events from MongoDB to Apache Kafka or sinking high-velocity data from Kafka into MongoDB for analytics, the following best practices ensure a secure, performant, and resilient architecture. This technical deep dive covers implementing the MongoDB Atlas Source and Sink Connectors on Confluent Cloud.

Qlik’s lessons learned from developing systems in a locked-down military-grade data zone at the 2025 NDIA Hackathon In early September, developers from across the country arrive at George Mason University’s Fuse facility with laptops, notebooks, and one big unknown: how do you build a defense-grade analytics solution in just 72 hours in a simulated air-gap environment.

BigQuery autonomous embedding generation treats embeddings as a managed part of your table, making it easier to get your data AI-ready.

Use the Conversational Analytics API to build context-aware agents that understand natural language, query BigQuery data, and deliver answers in text, tables, and visual charts.

With top-level Apache status, Polaris brings enterprise-grade governance and durability to the Iceberg catalog layer powering modern data platforms.

When designing on-premises and cloud systems, you have to balance resilience, security, and scalability. But ultimately, what your organization and business leaders care about is the bottom-line: today’s costs and tomorrow’s risk. As a result, hybrid and multicloud strategies are often viewed as simply a backup or disaster recovery strategy, instead of a path to availability your applications and business operations can really count on.

Organizations invest in IT infrastructure with one expectation: results, delivered fast. But when deployments drag on, the fallout goes far beyond slipping timelines. Slow rollouts can erode ROI, heighten operational risk, and strain already‑stretched IT teams. They also keep organizations from innovating at the speed today’s market demands—and the true cost of those delays often isn’t obvious until performance starts to suffer.