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    Data Warehouse

    Data integration & searchEnterprise Data WarehouseDWH
    Editorially reviewed on: 1 source
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    The short answer · 14 words

    In short

    A data warehouse integrates and historicizes data for reliable analyses, key figures and reports.

    Flow-alerta.cab (2026): Data Warehouse. https://flow-alerta.cab/en/glossar/data-warehouse. Editorially reviewed on: 10 October 2026.

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    Practical

    A data warehouse creates common key figures and enables time comparisons. It can promote a reliable database, but is not automatically an error-free “Single Source of Truth”.

    Order, customer and financial data are loaded daily and provided according to uniform definitions for sales and contribution coverage reports.

    SMEs should start with few prioritized metrics and sources. A clear layer structure, documented transformations and automated quality tests are more important than maximum platform size.

    At a glance

    Core
    A data warehouse is a data storage optimized for analysis and reporting. Data from operational sources is integrated, cleaned, modeled and often historicized. Queries do not directly burden the operational systems. A warehouse can be operated locally or as a cloud service.
    Use
    A data warehouse creates common key figures and enables time comparisons. It can promote a reliable database, but is not automatically an error-free “Single Source of Truth”.
    Example
    Order, customer and financial data are loaded daily and provided according to uniform definitions for sales and contribution coverage reports.
    Limits
    Equate operational database, data mart, data lake and lakehouse; model metrics without professionals; ignore data latency, cost and changeability.

    In context

    Data Lake

    A data lake stores large amounts of heterogeneous data flexibly and provides them for various later processing and analysis purposes.

    Business Intelligence (BI)

    Methods and tools that collect, prepare, analyze and visualize business data to support decisions.

    Questions about this term

    Warehouse or operational database? The warehouse is primarily used for analysis, the operational database for ongoing transactions. Warehouse or Lake? The warehouse curates more strongly; the lake stores more heterogeneously. Does it have to be cloud? No.

    All details and background

    A data warehouse is a data storage optimized for analysis and reporting. Data from operational sources is integrated, cleaned, modeled and often historicized. Queries do not directly burden the operational systems. A warehouse can be operated locally or as a cloud service.

    ELI5 – Explained simply

    It is an ordered warehouse in which data from different systems are uniformly labeled and ready for evaluations.

    Why it matters in practice

    A data warehouse creates common key figures and enables time comparisons. It can promote a reliable database, but is not automatically an error-free “Single Source of Truth”.

    Example

    Order, customer and financial data are loaded daily and provided according to uniform definitions for sales and contribution coverage reports.

    Pitfalls and limits

    • Equate operational database, data mart, data lake and lakehouse; model metrics without professionals; ignore data latency, cost and changeability.

    Origin & history

    Data warehouse concepts have spread since the 1980s and 1990s for decision-supporting, integrated and historicized enterprise data. Cloud offerings changed operations, not the basic purpose.

    Use in mid-sized companies

    • SMEs should start with few prioritized metrics and sources. A clear layer structure, documented transformations and automated quality tests are more important than maximum platform size.

    Related terms

    Matching Flow-alerta service

    AI assistants & automationData architecture and integration: design sources, metric model, loading processes, quality rules and reporting layer.

    Matching tool / use case

    View use casesBigQuery, Snowflake or PostgreSQL-based DWH stack; use case: consolidated sales and financial reporting.

    Sources

    • cloud.google.comGoogle Cloud, „Was ist ein Data Warehouse?“ (Abruf 05.10.2026)

    Quellenprüfung: 10.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.

    Editorially reviewed on:

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