Definition: A data warehouse is a central database designed for analytics that stores cleaned, structured data from many source systems so teams can run fast SQL queries, reports and dashboards.
Data flows in from applications, CRMs, finance systems and event logs through ETL or ELT pipelines and is modeled into fact and dimension tables or similar structures. Cloud warehouses such as Snowflake, BigQuery, Amazon Redshift and Azure Synapse separate storage and compute so they scale on demand.
Operational databases handle day-to-day transactions; warehouses handle large analytical queries across history. Data lakes store raw files of any type, and a data lakehouse blends the two.
Warehouses are a common source for AI work: training data, metrics an agent can query, and governed tables for text-to-SQL assistants. Clear, consistent definitions in the warehouse make those AI outputs more trustworthy.
Ryz data engineers and BI developers build and model warehouses in your cloud, working on your team.
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