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- Data
Snowflake for Data Engineers
This learning path is actively in production. More content will be added to this page as it publishes and becomes available in the library. The planned content for this path includes the following: - Warehouse Design and Architecture in Snowflake (video course) - Test and Validate Data in Snowflake Pipelines (video course) - Query and Performance Tuning in Snowflake (video course) - Build ELT Pipelines in Snowflake (video course) - Orchestrate and Automate Data Workflows in Snowflake (video course) - Security, Roles, and Governance in Snowflake (video course) - Cost Optimization and Resource Management in Snowflake (video course) - Snowflake for Data Engineers (Skill IQ)
Snowflake is a cloud-based data platform that gives data engineers the ability to build scalable, high-performance pipelines with elastic compute and integrated storage. This learning path will teach you how to design efficient warehouses, build and orchestrate ELT pipelines, validate data quality, secure sensitive assets, and control costs in Snowflake.
Content in this path
Snowflake for Data Engineers
Watch the following courses to start learning how to use Snowflake for data engineering tasks and workflows.
- How to design data warehouses in Snowflake
- How to test and validate data in Snowflake
- How to perform query tuning in Snowflake
- How to build ELT pipelines in Snowflake
- How to orchestrate and automate data workflows in Snowflake
- How to adjust security, role, and governance access in Snowflake
- How to optimize cost and manage resources in Snowflake
- Learners interested in this path should have proficiency in SQL and basic Snowflake experience. Learners will also benefit from a core understand of data engineering fundamentals such as ETL/ELT pipelines, data ingestion, and data transformation.
- Data engineering
- Data warehouse design
- Data security
- Data governance
- Query tuning
- ELT