DOMO 數據集成 - 放大現有數據和應用程序的價值

Data Integration

Make different data accessible and usable for business analysis.

Amplify the value of existing data and applications

Breaking Data Silos

Connect to any source to make more data sources accessible.The

Extract more value from your data

Discover new insights by combining data across systems and sources.

Expand as you wish

Add unlimited users and data with Domo's scalable cloud infrastructure.

Dynamic integration of cloud systems with over 1,000 pre-built connectors

By using data federation to query existing data warehouses or lakes, theLeave the data where it is.

Provides business users with data conversion capabilities using inline and visual ETL methods that do not require coding expertise.

Using SQL Scripts in Domo's SQL EditorCreate Advanced ConversionThe
Combining Multiple Sources with DataFusionsWe will also ensure the quality of the data.

Leverage the power of Domo connectors to import more data into a cloud data warehouse or lake and consolidate data across clouds.

Create a unified approach to governance across all systems and teamsThe following is a list of the data changes that have been made in the past.
Sending converted data from DomoBack to the systems users work with every day so they can take quick action.
Automate your data pipelineto prepare and convert data for analysis and visualization.

Maximize infrastructure investment and connect more efficiently to data warehouses through native integration and connectors.

When storing data in Domo, select the location where the data will be stored.and use Adrenaline, Domo's cloud-native query engine, for fast querying.
Reduces IT process blocking.Save time on administrative tasks and incoming data requests.

Combining data science operations withClassification, Forecasting, Clusteringand other features together.
Using Domo's AutoML Features Powered by Amazon SageMaker AutopilotAutomatic Training of Machine Learning ModelsThe
Using Embedded R and Python ScriptsBlock advanced data analysis and customize scripts. Implement embedded workspaces for Jupyter notebooks, code, and data.
Construct the model into the new pipelineTo ensure that any new data is reasoned using the model you have chosen.

Domo takes a different approach to data integration

Domo Real-Time Cache Layer for Sub-Second QueriesThe

coalition

Connect and query any data warehouse or lake.The

Content Authentication

Identify and authenticate trusted data sources.

Integrated Studio

Sends data from Domo back to the source system.

Sending data from Domo back to the source system

Through data trails and content authentication across the enterpriseImplementation of Data GovernanceThe
observanceGDPR, HIPAA, SOC 1/2 and ISO standards.
Self-contained key(BYOK) data encryption function increases the frequency of encryption key changes by three times.
Through user and row level personalized data permissions and customized user roles toControlling Data AccessThe
Grant access by role through SSO and Active Directory integrationThe following are some of the features you can use to manage permissions on a large scale using the API.