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 allows 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 to learn more about ZeroOps and how Snowflake can help organisations:

• Enable more data users to carry out data engineering work in a collaborative and governed way with new, intuitive ingestion and transformation features
• Leverage open standards, allowing organisations 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 their 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 such as VS Code and Jupyter
• Utilise generative AI to easily write transformations and pipelines without incurring high tuning and operational costs

This is an action-packed two-hour virtual event, featuring 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.

Watch now