data warehouse

USAGE SUMMARY

"data warehouse" is a correct and usable phrase in written English.
It refers to a large and centralized repository of data from various sources, typically used in business intelligence and data analysis. Example: Our company's data warehouse stores information from all of our sales, marketing, and customer service departments, allowing us to analyze and track trends and make informed decisions.

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

58 human-written examples

In a field study to explore influences on data warehouse refresh policies, we interviewed data warehouse administrators from 13 organizations about data warehouse details and organizational background.

Decision Support Systems

A data warehouse should be as large as possible.

Database Tuning

This chapter focuses on data warehouse data model tuning techniques.

Oracle Data Warehouse Tuning for 10g

The data warehouse is created by ETL technology.

Data Architecture: a Primer for the Data Scientist Big Data, Data Warehouse and Data Vault

The system is designed to be a data warehouse.

International Journal of Medical Informatics

User requirement analysis is crucial in data warehouse design.

Procedia Technology

This paper proposes a new distributed data warehouse model.

Egyptian Informatics Journal

The resulting architecture is called active data warehouse.

Data & Knowledge Engineering

OLAP is a service that overlays the data warehouse.

Database Modeling and Design Logical Design

Human-verified similar examples from authoritative sources

Similar Expressions

2 human-written examples

Tables — Data Warehouse term: Logical groupings of data items.

Massachusetts Institute of Technology

The data model of the Data Warehouse.

EPJ Data Science

Expert writing Tips

Best practice

Clearly define the source and quality of the data within the "data warehouse" to maintain credibility.

Common error

Don't assume everyone understands the complexities of a "data warehouse". Briefly explain its function when writing for a general audience to ensure clarity.

Linguistic Context

The phrase "data warehouse" functions primarily as a noun phrase, typically serving as the subject or object of a sentence. Ludwig AI confirms its correct usage in various contexts. It names a specific type of system or repository.

Expression frequency: Very common

Frequent in

Science

38%

News & Media

31%

Formal & Business

31%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "data warehouse" is a common and grammatically sound term referring to a centralized data repository used for analysis and decision-making. Ludwig AI validates its correct usage across various domains. Primarily functioning as a noun phrase, it identifies a specific type of system, and its use is prevalent in scientific, business, and news contexts. While alternatives like "data repository" exist, understanding the specific context is crucial for accurate communication. Be sure to specify the purpose and scope of your "data warehouse" to maximize clarity.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data repository

Focuses on the storage aspect of data, similar to a warehouse but might imply a broader range of data types.

information storage system

Highlights the system aspect, suggesting a structured method for keeping information organized.

centralized data storage

Emphasizes the location and function of the data being stored.

enterprise data hub

Suggests a central point for data within a business or organization.

business intelligence database

Highlights the purpose of the data, which is for business analysis.

analytical database

Focuses on the database's role in conducting data analysis.

historical data archive

Emphasizes the storage of past data for future reference.

corporate data repository

Highlights that the data is specific to a corporation and its operations.

data lake

Implies a less structured and more diverse collection of data compared to a warehouse.

information archive

Broadly refers to a place where information is systematically stored and preserved.

FAQs

How is a "data warehouse" different from a database?

A "data warehouse" integrates data from multiple sources for analysis, while a database typically manages transactional data from a single application. A data warehouse is optimized for querying and reporting, whereas a database is optimized for recording transactions.

What are the key benefits of using a "data warehouse"?

Key benefits include improved decision-making through comprehensive data analysis, enhanced business intelligence, and better data quality due to data cleansing and integration processes.

What are some alternatives to using a "data warehouse"?

Alternatives include "data lakes", which store raw data in its native format, and "data marts", which are smaller, more focused data repositories.

What are some common challenges when implementing a "data warehouse"?

Common challenges include data integration complexities, ensuring data quality, managing large data volumes, and keeping the data warehouse up-to-date with changing business needs.