Databases Intermediate

What is Data Warehouse?

A centralized repository optimized for analytical queries that integrates data from multiple operational sources.

Data warehouses are optimized for read-heavy analytical workloads (OLAP) rather than transactional operations (OLTP). They use columnar storage, star/snowflake schemas, and materialized views for fast aggregation queries.

Popular solutions include Snowflake, BigQuery (Google), Redshift (AWS), and Azure Synapse. Data warehouses typically receive data via ETL/ELT processes and serve business intelligence tools, dashboards, and ad-hoc analysis.

Learn More About This Topic

Database Design & Modeling Fundamentals

Related reading

PostgreSQL Database Setup: The Complete Guide

Related reading

MongoDB Fundamentals: Building Scalable NoSQL Applications with Document Databases

Related reading

Related Terms

A database command that shows how the query planner will execute a SQL query, revealing join methods, scan types, and estimated costs.

A situation where two or more transactions permanently block each other by each holding locks that the other needs.

The process of copying and maintaining database data across multiple servers for redundancy, failover, and read scaling.

Materialized View

A database object that stores the precomputed result of a query, offering faster reads at the cost of periodic refresh.

Database Sharding

A horizontal scaling strategy that distributes data across multiple database servers based on a partition key.

An advanced open-source relational database known for its reliability, feature richness, and standards compliance.

View All Databases Terms →