Basic Knowledge of Snowflake, Experience in SQL, Basics of Data Processing, Understanding of Data Security, Experience with Other Cloud Technologies, Understanding of Data Analysis, Programming Skills, Practical Experience with Snowflake
Audience:
- Data Analysts
- Data Engineers
- Database Administrators (DBAs)
- Big Data Engineers
- Cloud Solutions Architects
- Developers and Programmers
- Business Intelligence (BI) Specialists
- IT Project Managers
After completing the advanced Snowflake training, participants will have the following knowledge and skills:
Advanced Knowledge of Snowflake Architecture: Understanding the details of Snowflake's architecture, including the operation of data warehouses and data storage optimization.
Advanced Management and Optimization of SQL Queries: The ability to write complex SQL queries, optimize query performance, and use advanced SQL features.
Security and Permissions Management: Knowledge about implementing and managing data security in Snowflake, including access management, encryption, and auditing.
Automation and Integration with Other Systems: Understanding how to automate processes using Snowpipe and integrate Snowflake with ETL/ELT tools, Big Data systems, and APIs.
Advanced Data Processing and Analysis: The ability to use Snowflake for advanced data processing, including data streaming, predictive and statistical analysis, and machine learning.
Cost Optimization and Resource Management: Knowledge on efficient cost management in Snowflake, including resource scaling and usage monitoring.
Problem Solving and Best Practices: The ability to identify and solve common problems, as well as apply best practices in performance, security, and data management.
I. Advanced Architecture and Optimization
Advanced Snowflake Architecture (2 hours)
- Inside Snowflake: MPP and its Advantages
- Data Storage: Micro-partitioning and Compression
- Clusters and their Management
Data Management and Security
- Time Travel and Fail-safe: Practical Applications
- Access Management and Data Security
- Monitoring and Auditing
Advanced SQL Features and Analysis
- Advanced SQL Queries: Window, Recursive
- Using UDFs and Stored Procedures
- Predictive and Statistical Analysis
Practical Workshops and Case Studies
- Solving Real Business Problems
- Query Optimization and Cost Management
II. Integration, Automation, and Advanced Solutions
Integration with External Systems (2 hours)
- Integration with ETL/ELT tools
- Connections with Big Data systems (e.g., Hadoop, Spark)
- Utilizing Snowflake APIs
Automation and Orchestration (2 hours)
- Process Automation with Snowpipe
- Orchestration using External Tools (e.g., Airflow)
- Practical Automation Examples
Advanced Data Processing (2 hours)
- Streaming Data Processing
- Machine Learning and AI with Snowflake
- Working with Large Data Sets
Workshops and Q&A Session (2 hours)
- Practical Application of Acquired Knowledge
- Problem Solving and Challenges
- Discussion and Experience Sharing