More and more customers are switching to Snowpark for data engineering workloads, but how can it be used for data lake pipelines on Snowflake? This webinar will dive into how to adopt a common framework for transforming all types of data with Snowflake.
Join us to learn more about:
- A Snowpark framework for ingestion, curation, and consumption layers
- Architecture patterns supporting structured, semi-structured, and unstructured data formats
- Ingesting and process unstructured PDF files with Snowpark and streaming data with dynamic tables
- Using Streamlit with Snowpark to unlock advanced analytics with curated data
Ponentes
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Naga Mahadevan
Senior Solutions Architect
Snowflake -
Paul Needleman
Senior Solutions Architect
Snowflake
