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Effectivity Business Satellite

Applies to
Platform: Microsoft SQL Server · Snowflake · Snowflake dbt · Databricks · Databricks dbt · Fabric Lakehouse · Fabric Warehouse · Oracle
Architecture: Data Vault

An Effectivity Business Satellite stores the effectivity begin and end of a Hub's or Business Hub's keys, read from the Raw Vault, with their history. Use it when a business rule takes or derives effectivity periods from Raw Vault data, for example the validity of loyalty cards. After each load, the result view shows every version of these dates with its technical validity.

An Effectivity Business Satellite works like an Effectivity Satellite, not like a Business Satellite. It differs from the Raw Vault type in its sources, its layer, its relationship targets and the BDV_ prefix of its objects.

Sources and relationships

An Effectivity Business Satellite reads the result views of Raw Vault objects, in one or more dataflows: Hubs, all Link types, all satellite types, Current Views and History Views. It also reads BusinessVault Composites. It has exactly one relationship to a Hub or Business Hub, and its foreign-key terms must be mapped. Instead of descriptive terms it carries the Default Terms BG_Effectivity_Begin and BG_Effectivity_End. Business Current View, Business History View and Vault Out can read it.

Create the model object

After either way, map BG_Effectivity_Begin to the source term with the start date, and BG_Effectivity_End to the source term with the end date.

Historization

The row hash BG_RowHash covers BG_Effectivity_Begin and BG_Effectivity_End. The loader inserts a new version of a key when its row hash differs from the current version. The new version starts at the load timestamp, and the previous version ends there. An unchanged row adds no version, and the loader never deletes or updates rows.

Calculate Effectivity End From Begin decides which BG_Effectivity_End the result view shows when BG_Effectivity_End is mapped:

  • false (default): the end that the source delivered.
  • true: the BG_Effectivity_Begin of the next row of the same Hub_HK, ordered by BG_Effectivity_Begin, and End of Universe for the last row. Validation reports warning ID-20004, because the mapped end is overwritten in the result view. See BG_Effectivity_End.

Properties

The project properties Persist Validity and Create Result Views also apply.

Default Terms

Generated objects

These are the names on Microsoft SQL Server for the Effectivity Business Satellite load_incremental_besat with one dataflow:

RoleGenerated namePurpose
IncrementSourceBDV_ESAT_load_incremental_besat_IncrementSourceFinds the new increment
IncrementBDV_ESAT_load_incremental_besat_IncrementStores the increments
SourceBDV_ESAT_load_incremental_besat_SourceReads the sources
DeduplicationBDV_ESAT_load_incremental_besat_DeduplicationRemoves duplicate rows
HashingBDV_ESAT_load_incremental_besat_HashingCalculates the hash keys
HashingStorageBDV_ESAT_load_incremental_besat_HashingTableStores the hashed rows
HashingLoaderBDV_ESAT_load_incremental_besat_HashingLoaderFills the hashing table
EmbryoLoaderBDV_ESAT_load_incremental_besat_EmbryoLoaderAdds missing Hub keys
DeltaBDV_ESAT_load_incremental_besat_DeltaSelects new versions
LoaderBDV_ESAT_load_incremental_besat_LoaderInserts the new versions
StorageBDV_ESAT_load_incremental_besatEffectivity Business Satellite table
ResultBDV_ESAT_load_incremental_besat_ResultQuery view with validity
  • Loaders are stored procedures; the satellite table, the hashing table and the increment table are tables; all other objects are views.
  • The increment table exists only with an incremental load, that is, when a dataflow maps BG_IncrementalFilter; the increment source view only with Increment Management Type Auto.
  • The deduplication view exists only with a Deduplication Method other than None.
  • The hashing table and hashing loader exist only with Load Caching Hashing.
  • The embryo loader exists only when Use Embryo Loader is true on the relationship. It runs before the loader.
  • The result view exists only with Create Result Views; without it, Persist Validity must be true.
  • With several dataflows, all objects except the table and the result view exist once per dataflow, with the dataflow name in their names.
  • The table has no unknown-member row.

The example object loads incrementally, so a load runs this chain:

_IncrementSource -> _Loader -> _Increment (new increment)
Raw Vault _Result views + _Increment -> _Source -> _Hashing
_Hashing -> _Delta -> _Loader -> BDV_ESAT_load_incremental_besat
BDV_ESAT_load_incremental_besat -> _Result
_Result -> _Delta (current versions)

The loader first stores the new increment, the highest BG_IncrementalFilter of the source. The source view reads the rows between the previous and the new increment from the result views of its sources. The delta view keeps the rows whose Hub_HK and BG_RowHash do not match a current version, and the loader inserts them with the load timestamp as BG_ValidFromTimestamp. Without an incremental load, the chain starts at _Source.

Example

The Effectivity Business Satellite load_incremental_besat on Microsoft SQL Server has a relationship to the Hub common_loyaltycard. It reads the Effectivity Satellite load_loyaltycard_esat of the Raw Vault, joined with that Hub, and maps both effectivity terms from it. BG_IncrementalFilter is mapped to the BG_LoadTimestamp of load_loyaltycard_esat, with Increment Management Type Auto. Calculate Effectivity End From Begin and Persist Validity are false. The Raw Vault and then the Business Vault load four times:

  • Load 1 on 2026-10-28 08:00: cards 501 and 502, both valid from 2026-01-01 to 2026-12-31.
  • Load 2 on 2026-10-29 08:00: card 503, valid from 2026-10-29 to 2027-10-28, is new.
  • Load 3 on 2026-10-30 08:00: card 501 is renewed from 2027-01-01 to 2027-12-31, and card 502 ends on 2026-10-30.
  • Load 4 on 2026-10-31 08:00: no change.

Check the result

Query the result view with the business key from the Hub, here in the schemas p3b and p3:

SELECT h.LOYALTYCARD_ID AS CARD,
       s.BG_Effectivity_Begin, s.BG_Effectivity_End,
       s.BG_ValidFromTimestamp, s.BG_ValidToTimestamp
FROM p3b.BDV_ESAT_load_incremental_besat_Result AS s
JOIN p3.RDV_HUB_common_loyaltycard_Result AS h ON h.Hub_HK = s.Hub_HK
ORDER BY CARD, s.BG_ValidFromTimestamp;

This is the result after load 4, with the column names and timestamps shortened:

CARD  Begin       End         ValidFrom         ValidTo
501   2026-01-01  2026-12-31  2026-10-28 08:00  2026-10-30 08:00
501   2027-01-01  2027-12-31  2026-10-30 08:00  9999-12-31 00:00
502   2026-01-01  2026-12-31  2026-10-28 08:00  2026-10-30 08:00
502   2026-01-01  2026-10-30  2026-10-30 08:00  9999-12-31 00:00
503   2026-10-29  2027-10-28  2026-10-29 08:00  9999-12-31 00:00
  • Load 3 changed the dates of cards 501 and 502. Each got a second version, and the first one ended at the load timestamp.
  • Each load read only the rows that the Effectivity Satellite had stored since the previous increment. Load 4 found none and inserted no row.

Platform differences

  • Persist Validity is true by default on Snowflake, Snowflake dbt, Databricks, Databricks dbt, Fabric Lakehouse and Fabric Warehouse, and false on Microsoft SQL Server and Oracle. With true, the table stores BG_ValidToTimestamp.
  • The data types of the effectivity terms differ per platform, see BG_Effectivity_Begin.
  • Snowflake: names are in capitals, and the loader is a stored procedure. The load control task LC_BDV_ESAT_<model object name>_TASK calls it. The dataflow properties Use Stream and Warehouse Placeholder Variable Name apply.
  • Databricks and Fabric Lakehouse: table and view names are in lowercase, and the loader is the notebook BDV_ESAT_<model object name>_Loader. The properties File Format, Optimization Method, Optimization Method Columns and Use Sequential Dataflow Execution apply. Fabric Lakehouse allows only Foreign Key Mode None.
  • Databricks dbt and Snowflake dbt: the satellite becomes the dbt models bdv_esat_<model object name>_source and bdv_esat_<model object name>. The model bdv_esat_<model object name>_result exists only when Create Result Views is true; the default on dbt is false. Load Caching, Increment Management Type and Use Embryo Loader are not available.
  • Fabric Warehouse: the same objects as on Microsoft SQL Server, deployed by notebooks.
  • Oracle: names are in capitals, and the loader is a PL/SQL package. Partition Clause adds its text to the CREATE TABLE statement. Table Compression, the tablespaces and the statistics properties also apply.
  • Foreign Key Mode Create Enforced exists only on Microsoft SQL Server and Oracle.

Limitations

  • An Effectivity Business Satellite has exactly one relationship, to a Hub or Business Hub.
  • An unmapped BG_Effectivity_Begin raises a validation error.
  • A term other than the Default Terms, business keys and foreign keys raises a validation error. Business keys raise a validation warning.
  • Custom Singleton Values, Version Valid From Term and Hash Group Size are not available.

Release differences

  • Generator 2.2: Increment Management Type, Use Embryo Loader and Persist Validity are available.
  • Generator 2.4: Excluded from Delta Detection is available.

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