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.

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Related Terms

Write-Ahead Log (WAL)

A technique where changes are first written to a log before being applied to the database, ensuring crash recovery and data integrity.

A category of databases that store data in non-tabular formats, optimized for specific data models and access patterns.

A column that creates a link between two tables by referencing the primary key of another table.

PostgreSQL's binary JSON data type that stores JSON documents with indexing, querying, and manipulation capabilities.

A database that uses graph structures with nodes, edges, and properties to store and query highly connected data.

A set of four properties (Atomicity, Consistency, Isolation, Durability) that guarantee reliable database transactions.

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