Overview
Create a Complete Data Pipeline with Live Data Using Dynamic Tables - A Step-by-Step Guide for Snowflake Developers
Syllabus
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- Introduction to Snowflake Dynamic Tables
-- Overview of Snowflake Dynamic Tables
-- Use cases and benefits in data management
-- Key differences from traditional tables
- Setting Up Your Environment
-- Prerequisites for Snowflake usage
-- Configuring Snowflake accounts and user roles
-- Using SnowSQL and Snowflake Web UI
- Understanding Snowflake Dynamic Tables
-- Core concepts and architecture
-- Detailing declarative pipeline construction
-- Working with schemas and queries
- Building Dynamic Tables
-- Step-by-step guide to creating dynamic tables
-- SQL commands for dynamic table creation
-- Understanding and implementing materialized views
- Designing Declarative Data Pipelines
-- Principles of declarative pipelines in Snowflake
-- Streamlining development workflows
-- Minimizing object requirements in pipeline construction
- Hands-On Exercises
-- Building a simple dynamic table
-- Constructing a data pipeline with real-time data
-- Debugging and optimizing pipeline performance
- Advanced Topics
-- Using dynamic tables for real-time analytics
-- Integrating dynamic tables with ETL processes
-- Best practices for dynamic tables and data governance
- Performance Optimization
-- Strategies for optimizing query performance
-- Effective use of caching and persistence
-- Monitoring dynamic table workloads
- Case Studies and Applications
-- Real-world examples of dynamic table deployments
-- Discussion on industry-specific use cases
-- Group project: Design and deploy a complex data pipeline
- Assessment and Review
-- Project presentations and peer review
-- Course assessment quiz
-- Feedback and discussion
- Conclusion and Next Steps
-- Recap of key learning outcomes
-- Resources for continued learning and development
-- Opportunities for certification and further specialization in Snowflake
Taught by
Tags
On-Demand
