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LinkedIn Learning

Advanced Snowflake: Deep Dive Cloud Data Warehousing and Analytics

via LinkedIn Learning

Overview

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Supercharge your Snowflake skills with this deep dive into architecture and advanced settings.

Syllabus

Introduction
  • Advanced Snowflake
  • Snowflake architecture
  • Getting set up with Snowflake
1. Table Structures in Snowflake
  • Micropartitioning and clustering
  • Types of tables in Snowflake
  • Creating permanent tables
  • Creating temporary tables
  • Creating transient tables
  • Configuring data retention time
  • Querying historical data
  • Dropping and restoring tables
2. Views in Snowflake
  • Non-materialized, materialized, and secure views
  • Creating and populating tables
  • Creating and querying views
  • Recreating views
  • Querying regular views and secure views
  • Creating and querying materialized views
3. Optimizing Query Performance
  • Caching, clustering, and search optimization
  • Loading data using COPY INTO
  • Retrieval optimization using cached results
  • Enabling clustering on tables
  • Querying clustered tables
  • Querying clustering information
  • Running point lookup queries on search-optimized tables
  • Clustering vs. search optimization
4. Working with Semi-structured Data
  • Loading and querying parquet data
  • Loading JSON data
  • Querying JSON data
5. Managing Users and Granting Privileges
  • Access control
  • Creating users and viewing grants
  • Granting privileges to roles
Conclusion
  • Summary and next steps

Taught by

Janani Ravi

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