Build ELT Pipelines with DBT Core and AWS Redshift
Master the creation of efficient ELT pipelines using DBT Core and AWS Redshift. Transform your data workflows and enhance data management skills for impactful decision-making.
Accessing Lab Environment
Setup VS Code for DBT Development
Validate Redshiift Database Access
Overview of Information Schema or Data Dictionary in Redshift
Review Datasets and Validate AWS s3 Access
Introduction to DBT (Features, Use Cases and Implementation Patterns)
Setup AWS s3 for first DBT Model using Redshift
Setup DBT and Build first Model
Sources & External Data Documentation
Advanced Testing with dbt_utils
Documentation & Lineage with dbt docs
Staging Models (Bronze Layer)
Intermediate Models (Silver Layer)
Dimensional Models (Silver Layer)
Analytics Models (Gold Layer)
Understanding Complete E2E Pipeline
DBT Seeds (Reference Data Management)
DBT Snapshots (SCD Type 2 Implementation)
DBT Hooks (Operational Improvements)
Quiz