Teradata to MicroStrategy Integration
AI-first ETL from Teradata into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads Teradata into MicroStrategy
Datrise syncs Teradata's tables, rows, schemas, indexes, primary indexes, and query history into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.
Ideal for large-scale enterprise reporting and governance.
Endpoints
Teradata: Teradata analytical database for enterprise workloads.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How Teradata entities map to MicroStrategy
| Teradata entity | MicroStrategy object | Notes |
|---|---|---|
| tables | teradata_d_tables | id PK · custom fields → flattened columns |
| rows | teradata_d_rows | id PK · linked to teradata_d_tables |
| schemas | teradata_d_schemas | id PK · linked to teradata_d_tables |
| indexes | teradata_d_indexes | id PK · linked to teradata_d_tables |
FAQ
How does Datrise handle Teradata's custom fields in MicroStrategy?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MicroStrategy types.
How does the Teradata to MicroStrategy sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.
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Early access
Connect Teradata to MicroStrategy the easy way
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