Introduction of Advanced Data Engineer SnowPro®

The SnowPro® Advanced Data Engineer certification validates expertise in building, optimizing, and managing data pipelines within Snowflake’s cloud data platform. This training is designed for data engineers, architects, and developers who want to master advanced data engineering concepts, including performance tuning, data security, automation, and cost optimization in Snowflake.

By the end of this course, participants will be able to:

• Design scalable and optimized data architectures in Snowflake
• Implement secure and efficient data pipelines
• Utilize Snowflake’s advanced features, such as Streams, Tasks, Snowpark, and External Functions
• Optimize query performance and resource management
• Implement data sharing, governance, and access control strategies

Prerequisites

• Basic knowledge of Snowflake (equivalent to SnowPro Core Certification)
• Experience in SQL, ETL/ELT processes, and cloud data engineering
• Familiarity with Python or JavaScript for Snowpark is an advantage
• Understanding of data modeling, data security, and performance tuning

Table of Contents

1. Advanced Snowflake Architecture & Performance Optimization

1.1 Snowflake’s Multi-Cluster Shared Data Architecture Deep Dive
1.2 Clustering and Micro-Partitioning Strategies
1.3 Optimizing Storage & Compute Costs
1.4 Query Profiling and Performance Tuning
1.5 Best Practices for Resource Monitoring and Optimization

2. Data Ingestion and Transformation at Scale 

2.1 Ingesting Data with Snowpipe and External Tables
2.2 ELT Strategies Using Streams & Tasks
2.3 Automating Data Pipelines with Snowflake Tasks
2.4 Using Snowpark for Advanced Data Transformations
2.5 Handling Semi-Structured Data (JSON, Avro, Parquet)

3. Snowflake Data Sharing and Governance SnowPro®

3.1 Secure Data Sharing Across Accounts & Organizations
3.2 Implementing Row-Level & Column-Level Security(Ref: SnowPro® Advanced Architect: Designing Scalable Data Solutions)
3.3 Role-Based Access Control (RBAC) & Privilege Management
3.4 Data Masking, Tokenization, and Compliance Strategies
3.5 Using Snowflake’s Access History for Audit & Monitoring

4. Advanced Workload Data Engineer SnowPro®

4.1 Managing Concurrency and Workload Isolation
4.2 Optimizing Materialized Views and Hybrid Tables
4.3 Best Practices for Large-Scale Query Execution
4.4 Resource Monitoring and Query Profiling
4.5 Cost Optimization Strategies in Snowflake

5. Snowflake Integration with External Services SnowPro®

5.1 Snowflake and Cloud Storage (AWS S3, Azure Blob, GCS)
5.2 Working with External Functions (AWS Lambda, Google Cloud Functions)
5.3 Using API Integration for Real-Time Data Processing
5.4 Federated Queries & Cross-Cloud Data Access
5.5 Snowflake Connector and JDBC/ODBC Driver Optimization

6. Automation and DevOps for Snowflake SnowPro®

6.1 Implementing CI/CD for Snowflake Data Pipelines
6.2 Automating Schema Evolution and DDL Changes
6.3 Using Terraform for Snowflake Infrastructure Management
6.4 Implementing GitOps & Version Control in Snowflake
6.5 Monitoring Snowflake Workloads with Third-Party Tools

7. Real-World Use Cases & Hands-On Labs

7.1 Enterprise Data Warehousing with Snowflake
7.2 Real-Time Analytics and Streaming Data Pipelines
7.3 Fraud Detection and Financial Data Engineering
7.4 AI/ML Model Deployment with Snowpark
7.5 Hands-on Capstone Project

8. SnowPro®Data Engineer Certification

8.1 Understanding the Exam Structure and Domains
8.2 Key Concepts and Exam Tips
8.3 Sample Questions and Practice Tests
8.4 Performance-Based Scenarios and Case Studies
8.5 Final Review and Mock Exam

Conclusion

This SnowPro® Advanced Data Engineer training equips participants with expert-level skills in data pipeline development, performance optimization, security, and automation within Snowflake’s cloud data platform. By mastering these advanced concepts, professionals can maximize efficiency, reduce costs, and drive innovation in their data engineering workflows. This training also serves as a comprehensive preparation for the SnowPro Advanced Data Engineer Certification, ensuring participants are ready to pass the exam and excel in real-world projects.

Reference