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Acumatica Pre-Mapped Data Warehouse Tables / GIs

Click here for learning about Tableau, Power BI, and MS Excel templates for Acumatica.

Tables

Pre-mapped ETL+ tables available for Acumatica ERP/CRM as of 08/2022. This applies to Acumatica on-premises, private cloud, or public cloud (OData v3 and v4). Subject to change without notice.

Source

Table Name

Acumatica

Account

Acumatica

AccountClass

Acumatica

Address

Acumatica

AMBomItem

Acumatica

AMBomMatl

Acumatica

AMBomOper

Acumatica

AMBomOvhd

Acumatica

AMBomStep

Acumatica

AMOrderType

Acumatica

AMProdItem

Acumatica

AMProdMatl

Acumatica

AMProdOper

Acumatica

AMProdOvhd

Acumatica

AMProdStep

Acumatica

AMProdTool

Acumatica

AMProdTotal

Acumatica

APInvoice

Acumatica

APRegister

Acumatica

ARInvoice

Acumatica

ARRegister

Acumatica

ARTran

Acumatica

BAccount

Acumatica

Branch

Acumatica

Company

Acumatica

Contact

Acumatica

CRActivity

Acumatica

CRAddress

Acumatica

CRCampaign

Acumatica

CRContact

Acumatica

CROpportunity

Acumatica

CROpportunityProbability

Acumatica

CROpportunityRevision

Acumatica

CRSMEmail

Acumatica

CSAnswers

Acumatica

Customer

Acumatica

CustomerClass

Acumatica

EPEmployee

Acumatica

FinPeriod

Acumatica

GLHistory

Acumatica

GLHistoryByPeriod

Acumatica

GLTran

Acumatica

INItemClass

Acumatica

INItemCostHist

Acumatica

INItemCostHistByPeriod

Acumatica

INItemStats

Acumatica

INLocation

Acumatica

INLocationStatus

Acumatica

INRegister

Acumatica

INSite

Acumatica

INTran

Acumatica

InventoryItem

Acumatica

InventoryItemAMExtension

Acumatica

Ledger

Acumatica

Location

Acumatica

PMAccountGroup

Acumatica

PMBudget

Acumatica

PMProforma

Acumatica

PMProformaLine

Acumatica

PMProject

Acumatica

PMRegister

Acumatica

PMTask

Acumatica

PMTran

Acumatica

POLine

Acumatica

POOrder

Acumatica

Salesperson

Acumatica

Segment

Acumatica

SegmentValue

Acumatica

SOAddress

Acumatica

SOLine

Acumatica

SOOrder

Acumatica

SOOrderType

Acumatica

SOShipment

Acumatica

Sub

Acumatica

Users

Acumatica

Vendor

Data Warehouse

4_Today

Data Warehouse

5_Date

Data Warehouse

6_DatePeriod

Data Warehouse

GLz_02_AccountOverrides

Data Warehouse

GLz_03_SubAccountSegments

Data Warehouse

GLz_10_C3_Detail

Data Warehouse

GLz_12_C1_MajorTotal

Data Warehouse

GLz_14_C15_MinorTotal

Data Warehouse

GLz_16_C2_MinorTotal

Data Warehouse

GLz_50_Budget

Data Warehouse

GLz_60_History_PL_YTD

Data Warehouse

GLz_70_CashFlow

Data Warehouse

INz_10_Inventory_Planning

Data Warehouse

MFGz_BOM01_Item

Data Warehouse

MFGz_BOM02_Component

Data Warehouse

MFGz_BOM03_Header

Data Warehouse

MFGz_BOM10_Level0

Data Warehouse

MFGz_BOM11_Level1

Data Warehouse

MFGz_BOM12_Level2

Data Warehouse

MFGz_BOM13_Level3

Data Warehouse

MFGz_BOM14_Level4

Data Warehouse

MFGz_BOM15_Level5

Data Warehouse

MFGz_ProdOrder01_FixedOH

Data Warehouse

MFGz_ProdOrder02_Header

Data Warehouse

MFGz_ProdOrder03_Labor

Data Warehouse

MFGz_ProdOrder04_Mach

Data Warehouse

MFGz_ProdOrder05_Matl

Data Warehouse

MFGz_ProdOrder06_Tool

Data Warehouse

MFGz_ProdOrder07_ToolDetail

Data Warehouse

MFGz_ProdOrder08_VariableOH

Notes:

  • Some of the above tables will only be deployed using customized SOWs or via services.

  • All Acumatica DAC tables can be extracted into the data warehouse using OData.

  • All Acumatica tables can be extracted when you have direct access to Acumatica’s database.

  • We only recommend extracting tables that are important for your reporting purposes.

Acumatica MS SQL, OData v3, OData v4

The out-of-the-box ETL+ and data warehouse mappings have been designed to let users easily extract the data from Acumatica’s MS SQL database when available, and/or via OData v3, and/or OData v4.

There are some pros and cons to each of these extraction methods. Most deployments rely on one extraction method only. Example of using more than one method: clients with an on-prem Acumatica will find the SQL to SQL being the fastest extraction approach. However, there are some DAC tables not readily available in SQL, and it can be easier to just pull them via OData.

Source: Acumatica: Acumatica tables that have been pre-mapped in ETL+. They are part of DataSelf Step 1 - mirroring Acumatica raw data in the data warehouse. This pre-mapping includes:

  • Popular tables and columns for BI and reporting. We only map popular tables and columns to keep the extraction efficient and less taxing on resources. It’s easy to add more tables and columns via ETL+.

  • Many columns have their data types adjusted for reporting purposes. For instance, OData extractions set string columns to varchar(max) which can’t be used for SQL table linking - these columns are changed to varchar(50) or others (users can easily change the data types via ETL+).

  • Large tables come pre-configured with delta refresh set up. This includes delta Load Type settings, as well as column data type formatting and indexing.

Source: Data Warehouse: These are special tables that provide enhanced reporting value. Summary:

  • 4_ 5_ and 6_ tables for advanced period analytics.

  • GLz_ tables for performing GL Trial Balances, P&L, B/S and Cash Flow.

  • INz_ table(s) for inventory planning (combining Inventory On Hand Today, Open POs/WOs, Open SOs, and Sales projection).

  • MFGz tables for manufacturing BOM and Production Order reporting.

Table Columns Example

DataSelf ETL+ templates include adjustments to table columns' data types and indexes. Click here to learn more.

The following is an example of an Acumatica table and its column names, indexes and formatting in ETL+.

Column green icons indicate the data type and/or index definition have been set or changed in ETL+. Ex.: BAccountID (integer) has been set to an index (instead of the default AcctCD varchar index from OData).

Delta Load Example

DataSelf ETL+ templates include delta load configuration for popular large tables. This dramatically reduces the time to refresh the data warehouse. ETL+ Table Load Types.

The following is an example for ARTran using the Upsert feature.

Table Linking Example

The following is an example of how Acumatica _AR_Aging_Today tables are linked in DataSelf’s out of the box templates. This linking applies the same way for Tableau data sources, Power BI data sets, Excel and other reporting tools.

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