Systems | Development | Analytics | API | Testing

In this video, Dipankar breaks down the lakehouse architecture layer by layer - from object storage to table formats, catalogs, and compute engines. He covers.

Retaining total clarity over your metadata doesn't have to be a manual burden. While traditional BI tools often demand more time than they save, this technical walkthrough explores how to leverage CSTools—a Python-based utility—to bypass the UI and fetch metadata directly via REST APIs. Automating your cluster oversight is essential for reliable, code-first tracking of users and groups at scale. By using CSTools, you can eliminate the manual "busy work" and offload the repetitive tasks that weigh down your data team.

See how to supercharge analytics development with Snowflake’s Cortex Code (CoCo) and Qlik’s Model Context Protocol (MCP). In this demo, we auto-generate master dimensions and measures for the Qlik app using AI—showing how Qlik and Snowflake work together to accelerate trusted analytics. What you’ll learn: Perfect for data engineers, BI developers, and analytics leaders who want to move from raw data to reliable insight—faster.

Stop falling into "Manual Toggle Fatigue" and start mastering dynamic Liveboard control. In this technical walkthrough, we explore how to leverage Parameters paired with Custom Formulas to update granularity across an entire suite of visuals with a single selection.

​@MDauditSoftware did it by swapping "data babysitting" for ThoughtSpot. After 6 years, they’ve unlocked a "shadow workforce" that handles the tech so the team can focus on growth. The Result: Total operational independence Zero maintenance, more innovation Strategic agility at scale Stop DIY-ing your AI.

As telecom operators invest billions in next-generation networks, many are racing to deploy AI to cut costs and unlock new revenue. But beneath the push for automation and smarter infrastructure lies the deeper challenge of rethinking how connectivity itself should be trusted.