Systems | Development | Analytics | API | Testing

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.

Is your data stack slowing you down—or costing you more than it should? Join us for an engaging session where we’ll unlock the secrets to building a cost-efficient, high-performance analytics stack with Snowflake, dbt, Hevo, and Tableau. Whether you're optimizing costs, improving speed, or scaling analytics, this webinar will equip you with all the practical insider tips and real-world use cases to maximize the value of your data.

Step-by-step process to configure a data connector in Hevo Learn how to authenticate and establish a secure connection Optimize data ingestion settings for seamless transfers Best practices for monitoring and troubleshooting connections.

Learn how to configure objects in the Hevo Pipeline Wizard Step-by-step process for selecting and mapping data objects Optimize transformation settings for seamless data flow Best practices for ensuring accuracy and efficiency.

SaaS companies generate massive amounts of data daily, but scaling a reliable analytics stack without a dedicated data engineering team can be overwhelming. If you're struggling with fragmented data sources, slow reporting, or operational inefficiencies, this webinar is for you. Join us as we break down how lean teams can build and optimize their analytics stack using Hevo Data—without the complexity of traditional ETL processes. Learn firsthand from Sid Lasley and real-world case studies how to transform your data infrastructure for better performance, scalability, and cost efficiency.