Examples of 'data warehouses' in a sentence
Meaning of "data warehouses"
Data warehouses are large repositories or storage systems that collect, organize, and store vast amounts of data from various sources. They are used by businesses and organizations to facilitate data analysis, reporting, and decision-making
Show more definitions
- plural of data warehouse
How to use "data warehouses" in a sentence
Basic
Advanced
data warehouses
The nature of data warehouses in statistical institutes.
We apply the method to two data warehouses.
Data warehouses and big data services.
Data is processed and then stored in data warehouses.
Data warehouses are optimized for analytic access patterns.
They also function as data warehouses.
Data warehouses are designed to facilitate reporting and analysis.
Exports to different file formats and data warehouses.
Data warehouses enable an interactive approach to product management.
Object classification into tree hierachies in data warehouses.
Data warehouses are built exactly for this.
Design and implementation of databases and data warehouses.
Data warehouses are designed to manage and store the data.
Implementation of robotics and data warehouses.
Using data warehouses and data marts to acquire data.
See also
Store data in databases or data warehouses.
Data warehouses for engineering.
These became data warehouses.
Data warehouses and marts.
The architecture of data warehouses has evolved with time.
Data warehouses are often called data lakes or data marts.
Metadata is an important tool in how data is stored in data warehouses.
Data warehouses were initially built to store large volumes of data.
They have also been used to help compress data warehouses.
Some data warehouses include an additional step called a data mart.
Metadata is essential for understanding information stored in data warehouses.
Facilitates building of health data warehouses based on standardized data models.
The indexing and decisional worlds are connected by data warehouses.
Data warehouses allow faster execution of queries when demanded by applications.
Challenges with data warehouses.
It feeds data warehouses and makes data more accessible to users.
This approach can be used for tuning data warehouses.
Data warehouses and data lakes are an essential component of these systems.
His research influences how biomedical data warehouses are structured.
The users of the data warehouses are constantly doing large complex questions.
Many types of business data are analyzed via data warehouses.
It is really easy to create data warehouses including an enormous amount of data.
The second part of the chapter is devoted to data warehouses.
Data warehouses began to be.
The public sector relies on data warehouses for intelligence gathering.
Analytics usage trends are placing new demands on rigid data warehouses.
Data warehouses can play an effective role in the integration of economic statistics.
Larger companies have been mining huge data warehouses for decades.
Some may argue that data warehouses are supposed to stand alone and be protected.
We store the transactions in our data stores and data warehouses.
This is one way in which data warehouses differ from data lakes.
These components form a toolset for establishing and maintaining data warehouses.
There is often a thin line between data warehouses and operational systems.
Reduced hardware and maintenance costs associated with multiple data warehouses.
Throughout his life the data warehouses can suppose high costs.
You'll also be interested in:
Examples of using Warehouses
Show more
Warehouses near the ones you hit
These abandoned warehouses are easy to break into
Warehouses sprang up along the rail tracks
Examples of using Data
Show more
Select the data to display on that line
There is also evidence based on modelling data
Data on these populations are often not available
