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Overview
This Snowflake on-demand course covers the foundational concepts, design considerations, and Snowflake recommended best practices intended for stake holders who will be working on the Snowflake AI Data Cloud. This course is a pre-requisite for the role-based courses Administering Snowflake, Snowflake Data Engineering, and Snowflake Data Science.
Describe the unique and differentiated architecture of the Snowflake AI Data Cloud. Employ Snowflake’s continuous data protection features. Discuss Snowflake’s unique approach to caching. Summarize the information provided by Snowflake’s Explain. Interpret the information supplied by Query Profile regarding the performance of your query. Load and transform data.
Data Engineers Data Scientists Database Administrators
Coming Soon...
Module 1: Overview and Architecture Overview Snowflake Structure Using Snowsight Storage Layer Compute Layer Cloud Services Layer Snowgrid Visualizations in Snowsight Module 2: Data Protection Features Cloning Time Travel Introduction to Replication Module 3: Meta data and Caching in Snowflake Overview Metadata Query Result Cache Data Cache Module 4: Query Performance Using Explain Query Profile Module 5: Data Loading Data Loading Objects Data Loading Process Transformation and Copy Options
Module 1: Overview and Architecture
Module 2: Data Protection Features
Module 3: Meta data and Caching in Snowflake
Module 4: Query Performance
Module 5: Data Loading
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