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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

Foundational Snowflake Knowledge, SQL Proficiency, Data Processing Fundamentals, Understanding of Data Security, Experience with Cloud Technologies, Data Analysis Comprehension, Programming Competency, Hands-on Snowflake Experience

Target 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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