Snowflake's Metadata Architecture: Building Blocks for Integration

Описание: Snowflake's Alliances Manager explains the metadata architecture within Snowflake's data cloud, including the three types of metadata, governance building blocks, and how partner platforms integrate natively with Snowflake for comprehensive metadata management and governance.

About this presentation
Vikas Jain, Alliances Manager at Snowflake, presents Snowflake's architectural approach to metadata and explains the building blocks that enable partner platforms to provide cohesive metadata management and governance experiences. This session from Atlan Activate shows how Snowflake's native integration architecture ensures security and governance cannot be bypassed while allowing seamless tool access.

Why This Matters For Snowflake Metadata Management
Understanding Snowflake's metadata architecture and building blocks is essential for organizations implementing metadata management strategies. This architectural overview shows what Snowflake provides natively and how modern data catalogs like Atlan leverage these capabilities to deliver enterprise metadata management, governance, and collaboration.

Key Concepts Covered:
Snowflake Data Cloud Architecture: Three architectural layers including optimized storage, elastic performance engine, and intelligent infrastructure with metadata, security, and governance capabilities built-in
Three Types of Metadata in Snowflake: Object types (accounts, databases, tables), object definitions (view definitions, stored procedures, policy content), and object properties (column names, comments, tag values)
Three Governance Pillars: Know your data (discover, classify, determine lineage, create master data), protect your data (multi-layer access controls), collaborate with data (secure internal and external sharing)
Native Integration Building Blocks: Snowflake provides building blocks that partner solutions use to integrate with the platform, including account usage views, information schema, native tags, access history views, and object dependencies
Metadata Discovery Capabilities: Account usage views and information schema for metadata discovery, native tags applicable at account/database/table levels, sensitive data classification and tagging
Lineage and Relationships: Access history showing direct and indirect access patterns through views, object dependency views revealing relationships between external stages, external tables, materialized views, and base tables
Security Architecture: Network policy, user authentication, role-based access control, column-level masking policies for dynamic data masking at query time, row-level access policies for filtering unauthorized rows, data clean rooms using row access policies and secure sharing

Related Resources
📘 Snowflake + Atlan Partnership: https://atlan.com/partners/snowflake/

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About Atlan
Atlan is the leading active metadata platform for modern data teams, named a Leader in the Forrester Wave™: Enterprise Data Catalogs for DataOps. Atlan uses Snowflake's native building blocks to provide comprehensive metadata management, leveraging Snowflake's architecture for governance, lineage tracking, and secure collaboration.

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