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Data Science & Analytics vocabulary · Data Pipelines and Warehousing

Data warehouse

Meaning in data science & analytics, with examples

nounCore term

In data science & analytics, data warehouse means: A central database designed for analysis that stores cleaned, structured data from many systems, such as sales, marketing and finance, often over many years.

In Turkish: veri ambarı

How it is used

Snowflake, BigQuery and Redshift are well-known examples. Data is loaded into the warehouse and queried from it; people often just say 'the warehouse'. It is built for reading large amounts of data, not for running the live app.

Example sentences

  1. All the marketing data is now in the data warehouse, so you can join it with sales.

  2. Please don't run analysis on the production database; use the data warehouse instead.

Common collocations

  • load data into the warehouse
  • cloud data warehouse
  • data warehouse table
  • query the warehouse
  • data lakeA large storage system that holds huge amounts of raw data in its original format, structured or not, until someone needs to process and analyse it.
  • ETLShort for extract, transform, load: the process of taking data out of source systems, cleaning and reshaping it, and loading it into a warehouse.
  • schemaThe structure of a database or dataset: which tables exist, which columns they have, the data type of each column and how the tables relate to each other.
  • data pipelineA series of automated steps that moves data from its sources, transforms it and delivers it to a destination such as a warehouse, dashboard or model.

This word in other fields

The same English word can have a different meaning in another field:

More terms: Data Pipelines and Warehousing

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