Does Domo have a data warehouse?
The Data Warehouse in Domo provides a three-dimensional visual representation of all DataSets in your Domo, broken down by connector, along with data currently flowing into and between them.
DataSets for each connector type are represented as stacks on a rotating palette..
How does Domo store data?
Data is stored in the Domo Business Cloud, a cloud-based solution supported by Amazon Web Services.
Domo's pre-built connectors let customers connect to systems, databases, application programming interfaces (APIs), and spreadsheets.
Domo gives customers the ability to write their own custom connectors to data sources..
How does Domo work?
Domo is the Business Cloud.
It is a mobile, cloud-based, social, community-driven business intelligence platform with the power to transform the way you manage your business.
Domo can help you view data in one place, democratize across your organization, socialize important goals, and create accountability..
What is domo in data?
Domo is a leading analytics/BI, data and intelligent apps solution.
The software is available commercially and fully supported.
Created in 2010, Domo is the first cloud-native platform in this space..
What is use data warehouse?
A data warehouse is specially designed for data analytics, which involves reading large amounts of data to understand relationships and trends across the data.
A database is used to capture and store data, such as recording details of a transaction..
Where does Domo store data?
Data is stored in the Domo Business Cloud, a cloud-based solution supported by Amazon Web Services.
Domo's pre-built connectors let customers connect to systems, databases, application programming interfaces (APIs), and spreadsheets.
Domo gives customers the ability to write their own custom connectors to data sources..
- A data warehouse is a central system providing a place to store, model, and analyse data from across a business.
Data warehouses are generally MPP databases which provide a SQL interface.
Data will be loaded into the data warehouse through a data integration tool and then modelled by analysts to produce cleansed data. - Data warehouses are generally designed for large scale analytics over many records (for example summing a column) compared to MDMs which expect you to generally be operating on a single record at a time to find all the information for that specific record (some are also designed for large scale joining/matching of
