Course Outline

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

Requirements

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
 14 Hours

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