Moving data from system to system is inefficient, and insecure. As a data engineer or data scientist, you know how challenging and time-consuming it can be to create and manage ETL pipelines and integrations. With Snowflake’s data collaboration capabilities, you can eliminate the headaches associated with ETL and easily share data across cloud and region.
For those working with sensitive data where sharing isn’t an option, we’ll offer techniques that you can implement to apply privacy-preserving collaboration, enabling your organization to analyze data without exposing it!
Tune into this webinar to learn:
- How to implement privacy-preserving collaboration with Snowflake
- How to reduce time spent creating fragile ETL pipelines and identify opportunities to replace existing ETL pipelines with Snowflake Collaboration