Simplify Real-Time Context Engineering for Snowflake Intelligence With Confluent

Snowflake Intelligence brings enterprise insights to every employee’s fingertips, helping users answer complex questions in natural language with their own personalized enterprise intelligence agent. But for these agents to deliver truly accurate, contextually aware results within Snowflake’s Cortex framework, they need more than access to static or batch data—they need a continuous, trustworthy view of everything happening across the business right now.

4 Finance Team Mistakes and How To Avoid Them

Finance teams are smart, but not infallible. Even the most talented and dedicated finance professionals, like the ones on your team, are bound to make a mistake from time to time. But some mistakes are more costly than others. Have you ever been in the middle of a presentation and realized that you were talking about the wrong data? Or have you had an executive ask for data that you simply couldn’t find? With the right tools and automation, you can avoid these embarrassing moments.

Simba Connectivity Drivers - Expand Your Product's Reach

Stop building data connectors from scratch. Start shipping features faster. Your customers want access to more data sources, but your engineering team is already stretched thin. Sound familiar? In this video, we break down how redistributable connectivity drivers can accelerate your product roadmap without adding technical debt. If you're building analytics tools, reporting platforms, visualization apps, or any software that needs to connect to data, this is for you.

How to Connect Druid to Power BI

Connecting Druid to Power BI shouldn’t require hacks—and it definitely shouldn’t require exporting CSVs. Here’s the part nobody says out loud: Microsoft built Power BI’s connector architecture around ODBC, not JDBC or REST. So if your Druid cluster is built for lightning-fast analytics but your users can’t access it natively, that’s not a Druid problem… that’s a connector problem. This video shows how the Simba Druid ODBC Driver solves that in minutes.

Navigating Change in Virtualization is Key to Innovation

For years, virtualization quietly powered the world’s digital infrastructure. Enterprises and government agencies relied on trusted platforms to keep workloads stable, secure, and efficient. But now, the landscape is rapidly shifting. Organizations are now looking for new capabilities in a virtualization platform, according to a new report by Red Hat, with 38% of companies desiring automation and AI-powered capabilities, and an anticipated 45% rise in the use of containers.

JSON schemas to control your Lenses & infrastructure provisioning

When we talk about JSON schema in the world of Kafka and streaming, you may assume the schema for the events/messages. But how many times have you fumbled in the configuration about trying to get an application deployed? Schemas that describe how to configure and deploy Applications or applications-as-code, are also important, allowing us to automate application landscapes. Especially as we will soon be a wash with catalogs for AI Agents, MCP servers etc.

Maximize Snowflake ROI with Hevo & Astrato

This 45-minute session dives into how Hevo, Snowflake and Astrato come together to give data engineers a faster, cleaner and far more scalable workflow. With Snowflake Data Superhero Piers Batchelor and Martin Mahler, CEO & Founder of Astrato Analytics leading the discussion, you will see how to cut pipeline friction, reduce refresh delays and deliver near real-time insights without constantly tuning or fighting your stack.

Unlocking Climate Action: The Power of Data, Collaboration, and AI

As the lead sustainability officer at Qlik, I've had the privilege of witnessing firsthand the collaborative spirit and escalating urgency driving climate action today. Events like Climate Week NYC, the C40 World Mayors Summit, and COP30, highlight a clear reality: commitments are essential, but implementation and accountability matter more — within private and public sectors alike. And at the heart of this transition lies a powerful trio: data, collaboration, and AI.