IBM IBM Db2 to GoodData Integration
AI-first ETL from IBM IBM Db2 into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads IBM IBM Db2 into GoodData
Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
IBM IBM Db2: IBM relational database for transactional workloads.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How IBM IBM Db2 entities map to GoodData
| IBM IBM Db2 entity | GoodData object | Notes |
|---|---|---|
| tables | db2_tables | id PK · custom fields → flattened columns |
| rows | db2_rows | id PK · linked to db2_tables |
| schemas | db2_schemas | id PK · linked to db2_tables |
| indexes | db2_indexes | id PK · linked to db2_tables |
FAQ
How does Datrise handle IBM IBM Db2's custom fields in GoodData?
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 GoodData types.
How does the IBM IBM Db2 to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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- IBM IBM Db2 → PostgreSQL
- IBM IBM Db2 → MySQL
- IBM IBM Db2 → Microsoft SQL Server
- IBM IBM Db2 → Oracle Database
- IBM IBM Db2 → Snowflake
- IBM IBM Db2 → Google BigQuery
- IBM IBM Db2 → Amazon Redshift
- IBM IBM Db2 → Databricks SQL Warehouse
Early access
Connect IBM IBM Db2 to GoodData the easy way
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