---
title: Store Entity
description: A Store Entity stores the data of Stages or Store Composites per business key in a table of the Store layer and keeps the history of its SCD2 terms.
---

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# Store Entity

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

A Store Entity stores the data of Stages or Store Composites per business key in a table of the Store layer and keeps the history of its SCD2 terms. Use it as the persistent layer of a Data Store, which Data Vault, Dimensional and Data Mart projects can read as a linked object. After each load, the result view shows one row per business key and version, with its validity.

### Sources and relationships

A Store Entity reads [Stages](https://knowledge.bigenius-x.com/create-a-stage?hsLang=en) and [Store Composites](https://knowledge.bigenius-x.com/create-a-store-composite?hsLang=en), in one or more dataflows. It has no relationships. Other projects read it as a linked object:

- Data Vault: Hub, Link, Same As Link, Hierarchical Link, Driving Key Link, all Raw Vault satellite types, RawVault Composite and Reference Table.
- Dimensional: Entity, Fact and Core Composite.
- Data Mart: Mart Dimension, Mart Fact and Mart Composite.

### Create a Store Entity

- With the wizard: open the menu of a Stage or Store Composite, choose **Automate** and then **Create Store Entity**. Its steps are [Create Model Object](https://knowledge.bigenius-x.com/wizard-step-create-model-object?hsLang=en), [Create Dataflow](https://knowledge.bigenius-x.com/wizard-step-create-dataflow?hsLang=en), [Map Selected Business Keys](https://knowledge.bigenius-x.com/wizard-step-map-selected-business-keys?hsLang=en), [Map Selected Terms](https://knowledge.bigenius-x.com/wizard-step-map-selected-terms?hsLang=en) and [Add to View](https://knowledge.bigenius-x.com/wizard-step-add-to-view?hsLang=en). The wizard gives the mapped terms the Historization Type SCD2. See [Create a Model Object with the wizard](https://knowledge.bigenius-x.com/create-a-model-object-with-the-wizard?hsLang=en).  
  ![Menu of a Stage with Automate and its entries Create Store Composite and Create Store Entity](https://knowledge.bigenius-x.com/hs-fs/hubfs/knowledge_base_screenshots/create-a-store-entity-automate-menu.png?width=403&height=250&name=create-a-store-entity-automate-menu.png)
- Manually: [create a model object](https://knowledge.bigenius-x.com/create-a-model-object?hsLang=en) of type Store Entity in the Data Store column, [create a dataflow set](https://knowledge.bigenius-x.com/create-a-data-flow-set?hsLang=en), [add the source model objects](https://knowledge.bigenius-x.com/add-a-model-object-into-a-data-flow-set?hsLang=en) and [map the terms](https://knowledge.bigenius-x.com/map-a-source-term-with-a-target-term?hsLang=en).

After manual creation, mark at least one term as business key. In both cases, set the [Historization Type](https://knowledge.bigenius-x.com/historization-type-term-and-relationship?hsLang=en) of the terms that are not SCD2.

### Historization

- SCD2 (default): a changed value starts a new version at the load timestamp.
- SCD1: a new value overwrites the term in every version of the business key.
- SCD0: the value of the first load is kept.

The first version of a business key starts at [Begin of Universe](https://knowledge.bigenius-x.com/begin-of-universe-project?hsLang=en), 1900-01-01 by default. A version ends where the next one starts; the current version ends at [End of Universe](https://knowledge.bigenius-x.com/end-of-universe-project?hsLang=en). Without SCD2 terms and without a Version Valid From Term, the table holds one row per business key and has no validity terms. When the terms mix Historization Types, validation reports the warning `uses mixed historization types`, and the load works, as in the example below. See [Change detection and historization](https://knowledge.bigenius-x.com/change-detection-and-historization?hsLang=en).

### Properties

- [Implementation Type](https://knowledge.bigenius-x.com/implementation-type-model-object?hsLang=en): `Permanent` only, a table that keeps its rows from load to load.
- [Delta Detection](https://knowledge.bigenius-x.com/delta-detection-model-object?hsLang=en): `Hash Value Comparison` (default) compares row hashes. `Column Comparison` compares the SCD1 and SCD2 terms column by column.
- [Load Caching](https://knowledge.bigenius-x.com/load-caching-model-object?hsLang=en): empty (default) or `Hashing`, which stores the hashing view in a table before the loader runs.
- [Version Valid From Term](https://knowledge.bigenius-x.com/validfrom-source-term-dataflow-model-object?hsLang=en): per dataflow model object, for a source that delivers its own history. See [Configure a multi-version load](https://knowledge.bigenius-x.com/configure-a-multi-version-load?hsLang=en).
- [Delete Detection Method](https://knowledge.bigenius-x.com/delete-detection-method?hsLang=en), [Delete Detection Source](https://knowledge.bigenius-x.com/delete-detection-source-model-object?hsLang=en), [Delete Detection Partial Terms](https://knowledge.bigenius-x.com/delete-detection-partial-terms?hsLang=en) and [Delete Detection Partial Operator](https://knowledge.bigenius-x.com/delete-detection-partial-operator?hsLang=en): see [Configure delete detection](https://knowledge.bigenius-x.com/configure-a-delete-detection-behavior?hsLang=en).
- [Deduplication Method](https://knowledge.bigenius-x.com/deduplication-method-model-object?hsLang=en) and [Sort Order within Partition](https://knowledge.bigenius-x.com/deduplication-partition-model-object?hsLang=en), per dataflow.

The project property [Persist Validity](https://knowledge.bigenius-x.com/persist-validity-project?hsLang=en) decides whether `BG_ValidToTimestamp` is a table column or calculated by the result view.

### Default Terms

- [`BG_LoadTimestamp`](https://knowledge.bigenius-x.com/bg_loadtimestamp?hsLang=en): the load that inserted the row.
- [`BG_UpdateTimestamp`](https://knowledge.bigenius-x.com/bg_updatetimestamp?hsLang=en): the load that last changed the row.
- [`BG_SourceSystem`](https://knowledge.bigenius-x.com/bg_sourcesystem?hsLang=en): the source system of the row; empty unless you map it.
- [`BG_ValidFromTimestamp`](https://knowledge.bigenius-x.com/bg_validfromtimestamp?hsLang=en) and [`BG_ValidToTimestamp`](https://knowledge.bigenius-x.com/bg_validtotimestamp?hsLang=en): only with SCD2 terms or a Version Valid From Term. With validity terms, the primary key is the business keys plus `BG_ValidFromTimestamp`; without them, it is the business keys alone.
- [`BG_RowHashScd1`](https://knowledge.bigenius-x.com/bg_rowhashscd1?hsLang=en) and [`BG_RowHashScd2`](https://knowledge.bigenius-x.com/bg_rowhashscd2?hsLang=en): hashes of the SCD1 and of the SCD2 terms, each only when such terms exist. Business keys, Default Terms and SCD0 terms are not hashed. `Column Comparison` creates no row hashes. See [How biGENIUS-X builds hash values](https://knowledge.bigenius-x.com/how-bigenius-x-builds-hash-values?hsLang=en).
- [`BG_IsDeleted`](https://knowledge.bigenius-x.com/bg_isdeleted?hsLang=en): only with delete detection.
- [`BG_DataQuality_ID`](https://knowledge.bigenius-x.com/bg-dataquality-id?hsLang=en), [`BG_ErrorCount`](https://knowledge.bigenius-x.com/bg_errorcount?hsLang=en) and [`BG_ErrorDescription`](https://knowledge.bigenius-x.com/bg_errordescription?hsLang=en): hidden terms of the data quality objects.

### Generated objects

These are the names on Microsoft SQL Server for a Store Entity `customer` with one dataflow:

| Role | Generated name | Purpose |
| --- | --- | --- |
| Source | `DS_SE_customer_Source` | Joins the sources |
| Deduplication | `DS_SE_customer_Deduplication` | Removes duplicate rows |
| MultiVersion | `DS_SE_customer_Versioning` | Combines the source versions |
| Scd | `DS_SE_customer_Scd` | Applies SCD0 and SCD1 across versions |
| Hashing | `DS_SE_customer_Hashing` | Calculates the row hashes |
| HashingStorage | `DS_SE_customer_HashingTable` | Stores the row hashes |
| HashingLoader | `DS_SE_customer_HashingLoader` | Fills the hashing table |
| RowCondensing | `DS_SE_customer_RowCondensing` | Merges equal versions |
| Delta | `DS_SE_customer_Delta` | Selects new and changed rows |
| Loader | `DS_SE_customer_Loader` | Loads the table |
| Storage | `DS_SE_customer` | Store Entity table |
| Result | `DS_SE_customer_Result` | Query view with validity |

- Loaders are stored procedures; `DS_SE_customer` and the hashing table are tables; all other objects are views.
- The deduplication view exists only with a Deduplication Method other than `None`.
- Versioning, Scd and RowCondensing views exist only with a Version Valid From Term.
- The hashing view exists only with `Hash Value Comparison` and at least one SCD1 or SCD2 term. The hashing table and hashing loader exist only with Load Caching `Hashing`.
- Delete detection adds the view `_DeleteDetection`, the table `_DeleteDetectionTable` and the procedure `_DeleteDetectionLoader`.
- A data quality rule that runs before the load adds `_DataQualityBeforeLoadAction`, `_DataQualityResult`, `_DataQualityTable` and `_DataQualityLoader`. Rule logging adds `_DataQualityError`.
- With several dataflows, all objects except the table and the result view exist once per dataflow. Their names carry the dataflow name, for example `DS_SE_customer_Dataflow1_Loader`.

With the default settings, the dependencies are:

```
sources -> _Source -> _Hashing -> _Delta -> _Loader
_Loader -> DS_SE_customer -> _Result
_Result -> _Delta (comparison with the stored rows)
```

### Example

The Store Entity `customer` on Microsoft SQL Server reads the Stage `customer`. `CUSTOMER_ID` is the business key. The example uses these terms:

- `ADDRESS_LINE1`: SCD2.
- `CUSTOMER`: SCD1.
- `CUSTOMER_TYPE`: SCD0.

Load 1 on 2026-10-28 delivers two customers:

```
CUSTOMER_ID  CUSTOMER     CUSTOMER_TYPE  ADDRESS_LINE1
1            Contoso Ltd  Business       Main Street 1
2            Fabrikam AG  Business       Station Road 5
```

Load 2 on 2026-10-29 changes customer 1 and adds customer 3:

```
CUSTOMER_ID  CUSTOMER       CUSTOMER_TYPE  ADDRESS_LINE1
1            Contoso Group  Enterprise     Main Street 3
2            Fabrikam AG    Business       Station Road 5
3            Northwind      Private        Lake Road 7
```

### Check the result

Query the result view, here in the schema `ds`:

```
SELECT CUSTOMER_ID, CUSTOMER, CUSTOMER_TYPE, ADDRESS_LINE1,
       BG_ValidFromTimestamp, BG_ValidToTimestamp,
       BG_LoadTimestamp, BG_UpdateTimestamp
FROM ds.DS_SE_customer_Result
ORDER BY CUSTOMER_ID, BG_ValidFromTimestamp;
```

This is the result after load 2, split into two blocks, with shortened column names and timestamps:

```
ID  CUSTOMER       CUSTOMER_TYPE  ADDRESS_LINE1
1   Contoso Group  Business       Main Street 1
1   Contoso Group  Business       Main Street 3
2   Fabrikam AG    Business       Station Road 5
3   Northwind      Private        Lake Road 7
```

```
ID  ValidFrom   ValidTo     LoadTs      UpdateTs
1   1900-01-01  2026-10-29  2026-10-28  2026-10-29
1   2026-10-29  9999-12-31  2026-10-29  2026-10-29
2   1900-01-01  9999-12-31  2026-10-28  2026-10-28
3   1900-01-01  9999-12-31  2026-10-29  2026-10-29
```

- The new address starts a second version of customer 1 at the load timestamp of load 2.
- Contoso Group replaces Contoso Ltd in both versions, so the first version gets the update timestamp of load 2.
- `CUSTOMER_TYPE` stays Business, because SCD0 keeps the first value.
- Customer 3 is new, so its first version starts at 1900-01-01.
- Repeating load 2 inserts and updates no row.

### Platform differences

- Persist Validity is on by default on Snowflake, Databricks, Fabric Lakehouse and Fabric Warehouse, and off on Microsoft SQL Server and Oracle.
- Snowflake: names are in capitals. The load control task `DS_SE_<model object name>_TASK` calls the loader; delete detection and data quality add their own tasks. The dataflow properties [Use Stream](https://knowledge.bigenius-x.com/use-stream-model-object?hsLang=en) and [Warehouse Placeholder Variable Name](https://knowledge.bigenius-x.com/warehouse-placeholder-variable-name-dataflow?hsLang=en) apply.
- Databricks and Fabric Lakehouse: the loader is the notebook `DS_SE_<model object name>_Loader`. The properties [File Format](https://knowledge.bigenius-x.com/file-format-model-object?hsLang=en), [Optimization Method](https://knowledge.bigenius-x.com/optimization-method-model-object?hsLang=en), [Optimization Method Columns](https://knowledge.bigenius-x.com/optimization-method-columns-model-object?hsLang=en) and [Use Sequential Dataflow Execution](https://knowledge.bigenius-x.com/use-sequential-dataflow-execution-model-object?hsLang=en) apply.
- Fabric Warehouse: the same objects as on Microsoft SQL Server.
- Oracle: names are in capitals, and the loader is a PL/SQL package. [Hash Group Size](https://knowledge.bigenius-x.com/hash-group-size-model-object?hsLang=en) and physical properties such as [Partition Clause](https://knowledge.bigenius-x.com/partition-clause-and-table-storage-model-object?hsLang=en), Table Compression and tablespaces apply.

### Limitations

- A Store Entity has at least one business key and no relationships.
- With a Version Valid From Term, a Store Entity allows one dataflow, one dataflow set, no aggregation and no delete detection.
- A Store Entity has no unknown-member row; [Custom Singleton Values](https://knowledge.bigenius-x.com/custom-singleton-values-model-object?hsLang=en) is not available.

### Release differences

- Generator 2.2: Persist Validity, Delete Detection Partial Terms and Delete Detection Partial Operator are available.
- Generator 2.3: Hash Group Size is available on Oracle.

### Related articles

- Previous: [Stage](https://knowledge.bigenius-x.com/create-a-stage?hsLang=en), [Store Composite](https://knowledge.bigenius-x.com/create-a-store-composite?hsLang=en)
- Next: [Configure delete detection](https://knowledge.bigenius-x.com/configure-a-delete-detection-behavior?hsLang=en), [Configure a multi-version load](https://knowledge.bigenius-x.com/configure-a-multi-version-load?hsLang=en)
- Reference: [Historization Type (Term and Relationship)](https://knowledge.bigenius-x.com/historization-type-term-and-relationship?hsLang=en), [Delta Detection (Model Object)](https://knowledge.bigenius-x.com/delta-detection-model-object?hsLang=en), [Load Caching (Model Object)](https://knowledge.bigenius-x.com/load-caching-model-object?hsLang=en), [Version Valid From Term (Dataflow Model Object)](https://knowledge.bigenius-x.com/validfrom-source-term-dataflow-model-object?hsLang=en), [Persist Validity (Project)](https://knowledge.bigenius-x.com/persist-validity-project?hsLang=en), [Hash Group Size (Model Object)](https://knowledge.bigenius-x.com/hash-group-size-model-object?hsLang=en), [BG\_UpdateTimestamp](https://knowledge.bigenius-x.com/bg_updatetimestamp?hsLang=en), [BG\_ValidFromTimestamp](https://knowledge.bigenius-x.com/bg_validfromtimestamp?hsLang=en), [BG\_ValidToTimestamp](https://knowledge.bigenius-x.com/bg_validtotimestamp?hsLang=en), [BG\_RowHashScd1](https://knowledge.bigenius-x.com/bg_rowhashscd1?hsLang=en), [BG\_RowHashScd2](https://knowledge.bigenius-x.com/bg_rowhashscd2?hsLang=en), [BG\_IsDeleted](https://knowledge.bigenius-x.com/bg_isdeleted?hsLang=en)
- See also: [Change detection and historization](https://knowledge.bigenius-x.com/change-detection-and-historization?hsLang=en), [How biGENIUS-X builds hash values](https://knowledge.bigenius-x.com/how-bigenius-x-builds-hash-values?hsLang=en), [Create a Model Object with the wizard](https://knowledge.bigenius-x.com/create-a-model-object-with-the-wizard?hsLang=en), [Model a Data Store Solution](https://knowledge.bigenius-x.com/model-a-data-store-solution?hsLang=en), [Supported Load Cachings (Business Rule)](https://knowledge.bigenius-x.com/supported-load-cachings-business-rule?hsLang=en)

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