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

A database object that automatically executes a specified function when certain events (INSERT, UPDATE, DELETE) occur on a table.

A database operation that inserts a new row if it does not exist, or updates the existing row if it does.

A version-controlled change to a database schema that can be applied and reversed systematically.

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

Connection Pool

A cache of database connections that can be reused, avoiding the overhead of creating new connections for each request.

A sequence of database operations that are treated as a single unit — either all succeed or all are rolled back.

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