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Getting Started
1. Connect Data
2. Create Workspace
3. Build Logical Data Model
4. Create Visualization
5. Create Metrics
6. Create Dashboard
7. Embed Dashboard
Manage Organization
Create an API Access Token
Set Up Authentication
Example: Using Amazon Cognito
OIDC Code Flow
OIDC Tokens Security
Federated Identity Management
SAML Authentication
Set Up JWT Authentication
Using JavaScript
Use Organization API
Create and Restore Backups
View Entitlements
Manage Users
Manage Permissions
Organization
Data Sources
Workspace
Dashboard
Enable CORS
Enable CSP
Change Domain Name
Concepts
Organization
Connect Data
Create Data Sources
Snowflake
Amazon Redshift
Azure SQL
Google BigQuery
FlexConnect
Greenplum
Databricks
Microsoft SQL Server
MongoDB
PostgreSQL Server
Synapse SQL
Vertica
ClickHouse
MySQL
StarRocks
MariaDB
Oracle Database
SingleStore
GoodData ADS
MotherDuck
Dremio
Apache Drill
Manage Data Sources
Cache Management
Reload Cached Data
Use AWS PrivateLink
Improve Performance
Upload CSV Files
Concepts
Data Source
Create Workspace
Declarative API Interface
Entity API Interface
Object Identification
Objects Organization
Objects Life Cycle
Concepts
Workspace
Analytical Model
Model Data
Prepare Your Data
Create a Logical Data Model
Create the Model Manually
Create SQL Datasets
Advanced Use Cases
Aggregate Awareness
Evolve Your Model
Monitor Model Changes
Manage Labels
Convert between Facts and Attributes
Many-to-Many in Logical Data Models
Integrate with dbt
Concepts
Logical Data Model
Dataset
Primary Key
Attribute
Fact
Label
Create Metrics
Format Numbers
Create Metrics using API
Multidimensional Analytical Query Language (MAQL)
MAQL and Multidimensionality
Aggregation Functions
APPROXIMATE_COUNT
AVG
COUNT
FIRST_VALUE