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Chapter 1: Given a data set, load data into Snowflake

Chapter 2: Ingest data of various formats through the mechanics of Snowflake

Chapter 3: Troubleshoot data ingestion

Chapter 4: Design, build, and troubleshoot continuous data pipelines

Chapter 5: Analyze and differentiate types of data pipelines

Chapter 6: Install, configure, and use connectors to connect to Snowflake

Chapter 7: Design and build data sharing solutions

Chapter 8: Outline when to use external tables and define how they work

Chapter 9: Troubleshoot underperforming queries

Chapter 10: Given a scenario, configure a solution for the best performance

Chapter 11: Monitor continuous data pipelines

Chapter 12: Implement and manage data recovery features in Snowflake

Chapter 13: Use system functions to analyze micro partitions

Chapter 14: Use Time Travel and cloning to create new development environments

Chapter 15: Monitor data

Chapter 16: Establish and maintain data protection Implement column level security

Chapter 17: Establish and maintain data protection

Chapter 18: Define User Defined Functions UDFs and outline how to use them

Chapter 19: Define and create external functions

Chapter 20: Design, build, and leverage stored procedures

Chapter 21: Handle and transform semi structured data

Chapter 22: Handle and process unstructured data

Chapter 23: Use Snowpark for data transformation

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