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Data Warehouse

A data warehouse is the central repository where your organization's analytical data lives. This section covers how modern cloud data warehouses work, how to design schemas, and how to optimize queries for analytical workloads.

What You'll Learn​

  • What a data warehouse is and how it differs from an OLTP database
  • Cloud data warehouse options: Snowflake, BigQuery, Redshift, DuckDB
  • Dimensional modeling: facts, dimensions, and star schemas
  • Loading data into your warehouse
  • Query performance: clustering, partitioning, and materialized views
  • Cost management fundamentals

Lessons​

LessonDescription
Introduction to Data WarehousesCore concepts, architecture patterns, and when to use a warehouse
Prerequisites

Basic SQL familiarity. Understanding of relational databases is helpful.