Data architecture patterns have evolved over the past several decades, accommodating new use cases and technologies. Despite this evolution, most data platforms are limited or optimized for only one pattern—a major issue given that no single pattern is best for all use cases.
With Snowflake, you can build a variety of architectures that match the needs of a variety of use cases. Whether your use cases require semi-structured data, cloud or hybrid storage, open source formats, centralized or distributed management, SQL or Python, you can mix and match what works best in a seamlessly integrated experience.
Join this webinar to learn about:
- Common architecture patterns for processing, storing, and analyzing large volumes and variety of data
- Example architectures on Snowflake
- How Iceberg advances data lakes and enables better interoperability
Speakers
James Malone
Director Product Management
Snowflake
Scott Teal
Senior Product Marketing Manager
Snowflake