In response to the growing demand for integrating new data into our data platform, the Data Engineering Team at Okta has developed a solution utilizing Snowpark for Python to automate construction of data pipelines. Discover how Okta's Zero Touch Platform creates end-to-end pipelines that ingest events arriving on S3 and transforms data in Snowflake using Streams and Tasks. The platform features integrated capabilities to detect schema changes in data streams, facilitating automatic evolution of Snowflake table schemas. Crafted with privacy in mind, it also allows for data classification through tags and systemically masking data using tag-based masking policies.

Learn how to efficiently scale and manage data engineering pipelines with Snowflake's latest capabilities for SQL- and Python-based transformations. Join us for new product and feature overviews, best practices and live demos.