Systems | Development | Analytics | API | Testing

Agentic AI doesn’t have to mean months of architecture work, custom orchestration layers, or external platforms. In this hands-on workshop, you’ll build Snowflake Intelligence agents using native Snowflake capabilities to reason over structured data, retrieve context from unstructured sources, and execute multi-step analysis directly inside Snowflake within 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.

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.

Data teams today manage hundreds of moving parts, from sources and syncs to transformations and warehouses, yet often find out something’s broken only after dashboards go blank or reports turn unreliable. When every second of data downtime affects critical decisions, visibility isn’t optional; it’s essential.

As businesses grow, so does the complexity of their data. Teams often juggle multiple CRMs, finance systems, marketing platforms, and custom apps, only to end up with fragmented insights, rising costs, and frustrated stakeholders. In this webinar, Sorin Petrea, Director of Data Engineering at Keller Postman LLC, shares how his team unified data across dozens of sources, empowered 400+ users with self-service BI, and turned data into a lever for better decision-making.

ETL/ELT costs often rise faster than expected — hidden overages, consumption-based surprises, and hours wasted on schema fixes all add up. The result? Budgets get drained while engineering time is tied up in maintenance instead of building. In this session, we’ll show you how to get full control over pipeline costs without compromising reliability. Learn practical strategies and see a live demo of how Hevo enables transparent pricing, automated schema management, and built-in cost monitoring to help teams achieve predictable, cost-efficient data operations.

Snowflake is rapidly evolving into an AI-powered data platform, enabling organizations to go beyond traditional analytics and bring intelligence directly into their data workflows. In this session, Vivek Sunny will share practical insights from his hands-on experience implementing AI-driven solutions on Snowflake—bridging data engineering with AI to unlock business value.

Data pipelines break at the worst time: a schema change, a bad API token, or a traffic spike right before the board meeting. In this masterclass, we’ll show you how to design pipelines that don’t flinch under pressure. We will build an end-to-end pipeline (DB + SaaS + Ads) with Hevo, inject real-world chaos (schema drift, bad data, failures), and recover instantly — all while keeping dashboards fresh and costs predictable.

E-commerce companies don’t just need data pipelines; they need pipelines that can keep up with ever-changing customer behaviour, seasonal spikes, and omni-channel complexity. The ability to build a real-time Customer 360 isn’t a nice-to-have; it’s what drives personalization, revenue optimization, and retention. But getting there is hard. Broken pipelines, schema drift, opaque costs, and inflexible tools create friction for engineers, slow insights for analysts, and limit the strategic agility leaders expect.