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Overview
The SnowPro® Advanced: Data Engineer Certification Training is designed to equip professionals with in-depth knowledge and skills to apply comprehensive data engineering principles using Snowflake. This course covers sourcing data from various platforms, transforming and replicating data across cloud environments, designing real-time data streams, and evaluating performance metrics.
Objectives
By the end of this course, participants will be able to:
Prerequisites
- A minimum of 2 years of hands-on experience as a Snowflake practitioner in a data engineering role.
- Familiarity with data engineering concepts and cloud platforms.
Course Outline
Module 1: Data Sourcing and Integrationkeerti2025-01-08T18:11:09+05:30
- Sourcing data from Data Lakes
- Integrating APIs for data acquisition
- On-premises data migration strategies
Module 2: Data Transformation and Replicationkeerti2025-01-08T18:11:58+05:30
- Data transformation techniques
- Replication across multiple cloud platforms
- Data sharing methodologies
Module 3: Real-Time Data Streamingkeerti2025-01-08T18:13:07+05:30
- Designing near real-time data streams
- Implementing end-to-end streaming solutions
- Monitoring and managing data streams
Module 4: Scalable Compute Solutionskeerti2025-01-08T18:13:41+05:30
- Designing scalable compute architectures
- Optimizing compute resources for data workloads
- Implementing performance optimization strategies
Module 5: Performance Evaluation and Optimizationkeerti2025-01-08T18:14:18+05:30
- Evaluating performance metrics
- Identifying bottlenecks and optimization opportunities
- Best practices for performance tuning
