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

Time-Series Database

A database optimized for storing and querying timestamped data points like metrics, sensor readings, and event logs.

A data structure that improves the speed of data retrieval operations on database tables at the cost of additional storage.

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

ORM (Object-Relational Mapping)

A technique that lets you interact with a database using object-oriented code instead of writing raw SQL queries.

Full-Text Search

A technique for searching natural language text in databases using word stemming, ranking, and relevance scoring.

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

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