Snowflake Training
Anaconda packages
Snowflake Training
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M1 — Snowflake Architecture
Multi-cluster shared data
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Storage and compute separation
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Cloud services layer
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Account and cloud region setup
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M2 — Warehouses and Scaling
Virtual warehouse sizes
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Auto-suspend and resume
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Scaling policies
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Resource monitors
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M3 — Storage and Micro-Partitioning
Micro-partitions
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Clustering keys
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Search optimisation
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Storage costs and retention
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M4 — Zero-Copy Cloning and Time Travel
Clone semantics
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Fail-safe and Time Travel
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UNDROP and recovery
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Clone for dev/test
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M5 — Streams and Tasks for CDC
Change-data capture with streams
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Tasks and DAGs
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MERGE-driven incremental loads
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Streamlit in Snowflake quickstart
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M6 — Security and Governance
Roles and grants
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Dynamic data masking
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Row-access policies
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Object dependencies and future grants
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M7 — Snowpark and Developer Experience
Snowpark Python and Java
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Anaconda packages
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Stored procedures
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UDFs and UDTFs
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M8 — Data Sharing and Marketplace
Secure data sharing
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Reader accounts
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Marketplace listings
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Cross-cloud sharing
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M9 — dbt with Snowflake
dbt project structure
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Snapshots and incremental models
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Tests and exposures
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CI/CD with dbt
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M10 — Capstone and SnowPro Mocks
End-to-end Snowflake pipeline
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Cost optimisation review
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SnowPro Core and Advanced mocks
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