Data Engineering Connect: Streamline Data Pipeline Workflows with ZeroOps

Snowflake empowers all data engineers, from novice to expert, to code and automate pipelines with greater confidence, enhancing their existing skills and workflows. By freeing them from operational overhead through native data engineering capabilities and integration with open standards, Snowflake empowers data engineers to focus on what matters most: meeting data SLAs, automating repetitive tasks, and delivering impactful results to stakeholders. ZeroOps Data Engineering means data engineers can spend less time on infrastructure and more time on data outcomes.

Join us to learn more about ZeroOps and how Snowflake can help you:

• Enable more data users to do the work of data engineering in a collaborative and governed way with new, intuitive ingestion and transformation features
• Leverage open standards, allowing organizations to quickly adopt new or merge existing data engineering practices into their Snowflake workflows, making them more scalable and collaborative
• Deliver faster, higher-quality results by implementing modern CI/CD workflows using the tools of your choice
• Develop in preferred environments — use the all-in-one Snowflake Notebooks for data engineering and ML (including easy package management and access to GPU-compute) or seamlessly integrate existing tools like VS Code and Jupyter
• Leverage gen AI to easily write transformations and pipelines without incurring high tuning and operational costs

This will be an action-packed two-hour virtual event with presentations from Snowflake leaders, demos spotlighting real world use cases, and a showcase on how to get started with some of the latest features recently announced at Summit.

In collaboration with:

Agenda (Central European Time)

10:30 AM      Keynote

10:40 AM       Special Announcement

11:00 AM      [Deep Dive] Effortlessly Connect to any Data Source

11:10 AM      [Demo] Accelerate Semi-structured Data Processing featuring AWS DynamoDB & Snowflake Openflow

11:25 AM       [Deep Dive] Remove Infrastructure and Streamline Debugging

11:30 AM       [Deep Dive] Write Declarative Pipelines

11:35 AM       [Deep Dive] Use AI to Write Pipelines

11:45 AM        [Deep Dive] Scale pandas Workloads

11:50 AM       [Feature Engineering Demo] AISQL, pandas, and Dynamic Iceberg Tables

12:05 AM       [Deep Dive] All Pipeline Events in One Place

12:10 AM       [Feature Extended Demo] Snowflake Openflow

12:30 PM      [Feature Extended Demo] dbt Projects on Snowflake