Systems | Development | Analytics | API | Testing

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.

What if you could build a data pipeline from scratch and have it running in just 15 minutes? What if, right after that, you could transform raw data into analytics-ready insights without complicated coding or endless manual work? That’s exactly what we’ll show you in this Demo Day!

AI is changing how data teams operate. Is your pipeline ready? Today, data isn't just powering insights, it's fueling real-time decisions and AI/ML models. That means teams now face stricter requirements around data freshness, reliability, orchestration, and delivery speed. In this webinar, Hugo Lu, Founder & CEO at Orchestra will explore what it really means to build AI-first data operations & how leading data teams are adapting their infrastructure, workflows, and tooling to support this new era of model-driven development.

Scaling your SaaS product? Your data stack needs to keep up. As your SaaS business grows, so does the complexity of your data with more tools, more teams, and more questions to answer. But without a strong data foundation, analytics slows down, insights are delayed, and scaling becomes a constant struggle. Whether you're laying down your first modern data stack or trying to fix one that’s straining under growth, this webinar will show you what actually works. You’ll see a real-world demo, unpack proven strategies, and learn from SaaS companies who’ve been through it.

Still, spending hours fixing broken pipelines, writing custom scripts, or chasing schema mismatches? It doesn’t have to be that way. In this live demo, we’ll show you how to build a production-ready data pipeline in under 15 minutes using Hevo - no code, no maintenance, and no guesswork.

Snowflake Summit 2025 marked a major shift in the modern data stack bringing AI closer to your data, simplifying operations, and making every layer more connected. From Cortex AI SQL and Native Agents to Adaptive Compute and enhanced governance with Horizon Catalog, Snowflake is evolving from a warehouse into the execution engine for intelligent apps.

As the lines between analytics and AI continue to blur, data teams are expected to go beyond dashboards. They must enable predictive insights, power AI applications, and move faster than ever—all while navigating fragmented data systems and infrastructure limitations.

As organizations move beyond traditional data lakes and warehouses, the need for scalable, performant, and reliable table formats has never been greater. Apache Iceberg is quickly becoming the go-to open-source table format for the modern data stack—bringing the features of SQL tables to the data lake with schema evolution, time travel, partitioning, and ACID transactions. In this exclusive Hevo Learning Lab session, join Alex Merced—Senior Developer Advocate at Dremio and co-author of Apache Iceberg.