Data Applications → Incorta Data Delivery of Oracle EBS for Azure Synapse
About Incorta Data Delivery of Oracle EBS for Azure Synapse
Incorta Data Delivery streamlines the integration between Oracle E-Business Suite (EBS) and Microsoft Azure Synapse Analytics. Incorta Data Delivery accelerates data mart deployment, and automates data model design and source schema mapping with the Incorta Oracle EBS data application. The Incorta Oracle EBS data application provides a new, faster, more effective option for analyzing and understanding your data, with no data modeling or extract, transform, load (ETL) required.
Following is the high-level Incorta Data Delivery process:
- Connect Incorta to your data source with a data application, and load pre-existing physical schema fact and dimension tables.
- The physical schema tables are replicated to the Parquet that resides on Azure Data Lake Storage (ADLS) Gen 2.
- Load Synapse data marts from the parquet.
- Visualize the data with Power BI.
- Incorta offers a free 30-day Data Delivery trial, after which Incorta will assist you with licensing options.
- For existing on-premises customers, refer to Configure Incorta Data Delivery to enable Data Delivery for your Incorta instance.
Following are the Oracle EBS modules and business flows for which Incorta Data Delivery is available:
Financial Modules
- General Ledger: Helps you analyze core financial statements and the underlying transactions
Supply Chain Planning Modules
- Order Management: Helps you automatically identify risks to open orders and seamlessly unite data from various business functions, so you can optimize order fulfillment and maximize customer satisfaction
Business Flows
- Procure to Pay: Helps you analyze the end-to-end buying process, from initial request and purchase through to invoicing and payment for goods and services received
Sign up for Incorta Data Delivery
You can sign up for a free trial of Incorta Data Delivery from the Azure Synapse Analytics Studio. Once you complete the signup process, you will receive an email with your Incorta Data Delivery credentials.
Configure Incorta Data Delivery
To configure Incorta Data Delivery, the following steps are required:
- Configure the Oracle EBS data application
- Configure Your Azure Synapse Analytics SQL Pool
- Create an Azure Synapse Data Destination
- Set a Data Destination for a Physical Schema
- Create Materialized Views to Trigger Data Ingest
- Load Data
- Manage Physical Schema Load Jobs
- Customize Incorta Data Delivery
Configure the Oracle EBS Data Application
Incorta Data Delivery is pre-configured with sample Oracle EBS data, which will allow you to preview the Oracle EBS to Synapse data integration process before you connect to and configure the data application for your Oracle EBS instance. If you would like to use your own Oracle EBS data, follow the steps in the Configure the Oracle EBS data application section of Data applications → Install and Configure Oracle EBS for Incorta On-Premises.
External Data Sources
Here are the predefined External Data Sources:
External Data Source | Type | Description |
---|---|---|
EBS | oracle | This external data source connects to your Oracle EBS database. Refer to Configure the Oracle EBS data application for details on how to update the properties for your instance. |
Incorta | mysql | This external data source is for the Incorta metadata. |
Postgres | postgres | This external data source is for Incorta over Incorta. |
SparkSql | postgres | This external data source is for materialized views. |
Do not delete the External Data Sources, as they are required.
Data Files
Here are the pre-defined Local Data Files used in the COMMON physical schemas:
Date_US.csv
Month_US.csv
Period.csv
Quarter.csv
Do not delete the Local Data Files, as they are required.
Global Variables
Here are the pre-defined global variables:
Global Variable | Description |
---|---|
flex_value_set_id | This global variable is used in the Account_Hierarchy and CostCenter_Hierarchy tables in the EBS_FIN_COMMON physical schema. Refer to Configure the Oracle EBS data application for details on how to update the value of this global variable for your Oracle EBS instance. |
Default_InitialExtractDate | Optionally use this global variable to limit rows for large transaction tables during a full load. For example: last_update_date > $$Default_InitialExtractDate Refer to Configure the Oracle EBS data application for more details. |
Security Groups
Here are the pre-defined security groups:
Security Group | Description |
---|---|
Incorta_Internal_User | This is the Incorta internal user corresponding to the intelligent_ingest_for_azure_synapse@incorta.com email address. There is no way to change this user password, since it is a system user. Do not delete this user. If you delete this user, contact Incorta Support. |
Super User | This is the Administrator. You can change this password using the Profile Manager. |
EBS Common Physical Schemas
Physical Schema | Description |
---|---|
EBS_CAL_COMMON | This physical schema contains the Oracle EBS calendar tables |
EBS_COMMON_DIM_ALL | This physical schema contains the materialized views copied to parquet that represent Oracle EBS dimensions used across modules and business flows, such as calendars, accounts, cost centers, operating units, and more |
EBS_FIN_COMMON | This physical schema contains the Oracle EBS finance tables |
EBS_FND_COMMON | This physical schema contains the Oracle EBS foundation, or application object library, tables |
EBS_HR_COMMON | This physical schema contains the Oracle EBS human resources tables |
EBS_ITEM_COMMON | This physical schema contains the Oracle EBS Item Master tables |
EBS_PARTY_COMMON | This physical schema contains the Oracle EBS party, or business entity, tables |
The EBS_XLA and EBS_XLA_MV physical schemas are included with Incorta Data Delivery, but are not used.
EBS_COMMON_DIM_ALL Materialized Views
Here are the EBS_COMMON_DIM_ALL materialized views copied to Azure Synapse:
Materialized View | Description | Primary/Foreign Keys |
---|---|---|
DimAccountHierarchy | This materialized view contains the dimensions for the account hierarchy, or parent/child relationships | Account |
DimAccounts | This materialized view contains the dimensions for the accounts | CODE_COMBINATION_ID |
DimBalancingSegment | This materialized view contains the dimensions for the balancing segment, or segment used to ensure that all journals balance for each balancing segment value | CODE_COMBINATION_ID |
DimCodeCombinations | This materialized view contains the dimensions for the code combinations, or the segment pairings for each accounting key flexfield (KFF) | CODE_COMBINATION_ID |
DimCostCenter | This materialized view contains dimensions for the cost centers | CODE_COMBINATION_ID |
DimCustomer | This materialized view contains the customer dimensions | SITE_USE_ID |
DimFiscalCalendar | This materialized view contains the fiscal calendar dimensions | GL_Date |
DimGLPeriods | This materialized view contains the general ledger period dimensions | PERIOD_SET_NAME PERIOD_NAME |
DimGregorianCalendar | This materialized view contains the Gregorian calendar dimensions | Date |
DimItem | This materialized view contains the inventory item dimensions | INVENTORY_ITEM_ID ORGANIZATION_ID |
DimLedgers | This materialized view contains the customer dimensions | LEDGER_ID |
DimOperatingUnit | This materialized view contains the operating unit dimensions | ORGANIZATION_ID |
DimPerson | This materialized view contains the details for the person entity | PERSON_ID |
DimSuppliers | This materialized view contains the supplier dimensions | VENDOR_ID |
DimSupplierSite | This materialized view contains the supplier site dimensions | VENDOR_SITE_ID |
CommonDimensionDM Business Schema
The CommonDimensionDM Business Schema is used to create the EBS_COMMON_DIM_ALL materialized views.
Order Management Physical Schemas
Physical Schema | Description |
---|---|
EBS_AR | This physical schema contains the Oracle EBS accounts receivable tables |
EBS_AR_FACTS_ALL | This physical schema contains the accounts receivable fact tables copied to parquet |
EBS_AR_MV | This physical schema contains the GL codes and invoice tax materialized views |
EBS_AR_SNP | This physical schema contains the AR aging and write-off materialized views |
EBS_OM_FACTS_ALL | This physical schema contains the order management fact tables copied to parquet |
EBS_ONT | This physical schema contains the Oracle EBS order management tables |
EBS_AR_FACTS_ALL Materialized Views
Here are the EBS_AR_FACTS_ALL materialized views copied to Azure Synapse:
Materialized View | Description | Primary/Foreign Keys |
---|---|---|
FactARPaymentSchedules | This materialized view contains the AR payment schedules | PAYMENT_SCHEDULE_ID |
FactCashReceipts | This materialized view contains the cash receipts | CASH_RECEIPT_HISTORY_ID |
ARCashReceiptsDM Business Schema
The ARCashReceiptsDM Business Schema is used to create the EBS_AR_FACTS_ALL materialized views.
EBS_OM_FACTS_ALL Materialized Views
Here are the EBS_OM_FACTS_ALL materialized views copied to Azure Synapse:
Materialized View | Description | Primary/Foreign Keys |
---|---|---|
FactInvoiceDetails | This materialized view contains the invoice detail facts | CUSTOMER_TRX_LINE_ID |
FactSalesOrderHeader | This materialized view contains the sales order header facts | HEADER_ID |
FactSalesOrderLine | This materialized view contains the sales order line facts | CUSTOMER_TRX_LINE_ID LINE_ID |
OrderManagementDM Business Schema
The OrderManagementDM Business Schema is used to create the EBS_OM_FACTS_ALL materialized views.
General Ledger Physical Schema
Physical Schema | Description |
---|---|
EBS_GL | This physical schema contains the Oracle EBS general ledger tables |
EBS_GL_FACTS_ALL | This physical schema contains the general ledger fact and dimension tables copied to parquet |
EBS_GL_FACTS_ALL Materialized Views
Here are the EBS_GL_FACTS_ALL materialized views copied to Azure Synapse:
Materialized View | Description | Primary/Foreign Keys |
---|---|---|
DimJournalCategory | This materialized view contains the journal category dimensions | JE_CATEGORY_NAME |
DimJournalSource | This materialized view contains the journal source dimensions | JE_SOURCE_NAME |
FactGLBalances | This materialized view contains the general ledger balance facts | CODE_COMBINATION_ID LEDGER_ID CURRENCY_CODE PERIOD_NAME |
FactJournalDetails | This materialized view contains the journal detail facts | JE_HEADER_ID JE_LINE_NUM |
GeneralLedgerDM Business Schema
The GeneralLedgerDM Business Schema is used to create the EBS_GL_FACTS_ALL materialized views.
Procure to Pay Physical Schemas
Physical Schema | Description |
---|---|
EBS_AP | This physical schema contains the Oracle EBS accounts payable tables |
EBS_AP_FACTS_ALL | This physical schema contains the accounts payable fact and dimension tables copied to parquet |
EBS_INV | This physical schema contains the Oracle EBS inventory tables |
EBS_PA | This physical schema contains the Oracle EBS projects tables |
EBS_PO | This physical schema contains the Oracle EBS purchase order tables |
EBS_PO_FACTS_ALL | This physical schema contains the purchase order fact and dimension tables copied to parquet |
EBS_AP_FACTS_ALL Materialized Views
Here are the EBS_AP_FACTS_ALL materialized views copied to Azure Synapse:
Materialized View | Description | Primary/Foreign Keys |
---|---|---|
DimProject | This materialized view contains the project dimensions | PROJECT_ID |
DimInvoiceHeaders | This materialized view contains the invoice header | INVOICE_ID |
FactInvoiceDistributions | This materialized view contains the invoice distribution facts | INVOICE_DISTRIBUTION_ID |
FactInvoiceHolds | This materialized view contains the invoice hold facts | HOLD_ID |
FactInvoicePayments | This materialized view contains the invoice payment facts | INVOICE_PAYMENT_ID |
PayablesDM Business Schema
The PayablesDM Business Schema is used to create the EBS_AP_FACTS_ALL materialized views.
EBS_PO_FACTS_ALL Materialized Views
Here are the EBS_PO_FACTS_ALL materialized views copied to Azure Synapse:
Materialized View | Description | Primary/Foreign Keys |
---|---|---|
DimBuyer | This materialized view contains the buyer dimensions | AGENT_ID |
DimPurchaseOrderHeader | This materialized view contains the purchase order header dimensions | PO_HEADER_ID |
FactPurchaseOrderDistribution | This materialized view contains the purchase order distribution facts | PO_DISTRIBUTION_ID |
FactPurchaseOrderReceipts | This materialized view contains the purchase order receipt facts | PO_HEADER_ID INVOICE_ID PO_DISTRIBUTION_ID ORG_ID VENDOR_ID TRANSACTION_ID |
FactPurchaseOrderRequisition | This materialized view contains the purchase order requisition facts | DISTRIBUTION_ID |
FactPurchaseOrderShipment | This materialized view contains the purchase order shipment facts | LINE_LOCATION_ID |
PurchaseOrderDM Business Schema
The PurchaseOrderDM Business Schema is used to create the EBS_PO_FACTS_ALL materialized views.
Load2Synapse Physical Schemas
Following are the pre-defined physical schemas that trigger the ingest of data into Azure Synapse:
- Load2Synapse_EBS_AP_FACTS_ALL
- Load2Synapse_EBS_AR_FACTS_ALL
- Load2Synapse_EBS_COMMON_DIM_ALL
- Load2Synapse_EBS_GL_FACTS_ALL
- Load2Synapse_EBS_PO_FACTS_ALL
- Load2Synapse_EBS_OM_FACTS_ALL
Configure Your Azure Synapse Analytics SQL Pool
Perform the following configuration steps in your Azure Synapse Analytics SQL Pool before you load data into Synapse from Incorta:
- Create an Incorta login for your SQL pool for the master database
- Create the Incorta user with grants for the SQL pool database
It is assumed that you already have a Synapse workspace and dedicated SQL Pool from the Azure blade.
Create an Incorta login for your SQL pool for the master database
Here are the steps to create an Incorta login for your SQL pool for the master database. You must replace <PASSWORD> with a secure password.
- In Synapse Analytics, for your workspace, select New → SQL script.
- In the SQL editor, in the SQL Script tab, in Connect to, first select your dedicated SQL Pool and then, in Use database, select master.
- In the SQL editor, run the following CREATE LOGIN command, replacing
<PASSWORD>
with a secure password for the new login.
CREATE LOGIN incorta WITH PASSWORD = '<PASSWORD>';
Create the Incorta user with grants for the SQL pool database
Here are the steps to create an Incorta user with grants for the selected SQL pool database:
- In Synapse Analytics, in Develop, select + → SQL script.
- In the SQL editor, in the SQL Script tab, in Connect to, first select your dedicated SQL Pool and then, in Use database, select your SQL pool database.
- In the SQLeditor canvas, run the following SQL commands:
CREATE USER incorta FOR LOGIN incorta;EXEC sp_addrolemember 'db_ddladmin', 'incorta';EXEC sp_addrolemember 'db_datawriter', 'incorta';EXEC sp_addrolemember 'db_datareader', 'incorta';GRANT ALTER ANY EXTERNAL FILE FORMAT to incorta;GRANT ADMINISTER DATABASE BULK OPERATIONS to incorta;
Create an Azure Synapse Data Destination
When you create an Azure Synapse Data Destination, you are able to seamlessly ingest physical schema tables from Incorta to your Azure Synapse instance.
Here are the steps:
- In the Navigation bar, select Data.
- In the Action bar, select + New → Add Data Destination.
- In the Choose a Data Destination dialog, in Schema Destination select Synapse Analytics.
- In the New Data Destination dialog, specify the following Asure Synapse schema destination properties:
- SQL Pool Endpoint: This is the dedicated SQL endpoint
- Database Name: This is the SQL pool name
- SQL Username: This is the username created in the Create an Incorta login for your SQL pool for the master database section above.
- SQL Password: This is the password created in the Create an Incorta login for your SQL pool for the master database section above.
- Port: The default value is 1433
- To test the connection, select Test Connection.
- To save, select Ok.
For more information on how to manage Data Destinations, refer to Tools → Data Manager.
Set a Data Destination for a Physical Schema
Set a data destination for physical schemas that will be sent to Synapse. Here are the steps:
- In the Navigation bar, select Schema.
- In the Action bar, select Settings (gear icon) → Set Data Destination.
- In the Set Schema Destination for <SCHEMA_NAME> dialog,
- Select a Schema Destination or select + New Schema Data Destination to create a new one.
- Select Done. A Synapse Analytics icon will appear to the left of the schema name to indicate a data destination has been set for the schema.
Set the data destination for the physical schemas you need to send to Synapse, which include:
- EBS_AP_FACTS_ALL
- EBS_AR_FACTS_ALL
- EBS_COMMON_DIM_ALL
- EBS_GL_FACTS_ALL
- EBS_OM_FACTS_ALL
- EBS_PO_FACTS_ALL
You will need to create a data destination for any additional physical schemas you would like to ingest into Azure Synapse.
Create Materialized Views to Trigger Data Ingest
For each physical schema that will trigger data ingest into Azure Synapse, create a materialized view. Refer to Load2Synapse Physical Schemas for a list of Load2Synapse physical schemas that have already been created. Each materialized view should contain the following lines of code for full and incremental load scripts:
Script (full load script)
from incorta_synapse import load_to_synapsedf = load_to_synapse("<PHYSICAL_SCHEMA_NAME>", "Full")save (df)
Incremental Script (incremental load script)
from incorta_synapse import load_to_synapsedf = load_to_synapse("<PHYSICAL_SCHEMA_NAME>", "Incremental")save (df)
These examples pass the schema name as a parameter in the load script. There is also an option to pass a list of tables in the same schema as a comma separated list of fully qualified names as follows:
df = load_to_synapse([<PHYSICAL_SCHEMA_NAME>.<TABLE_NAME_1>, <PHYSICAL_SCHEMA_NAME>.<TABLE_NAME_2>], "Full")
Load Data
Following is the recommended load order:
- Oracle EBS common physical schemas (for example, EBS_CAL_COMMON)
- Oracle EBS base module physical schemas (for example, EBS_AP)
- Materialized Views and Snapshots (EBS_AR_SNP and EBS_AR_MV)
- _ALL physical schemas (for example, EBS_AP_FACTS_ALL)
Here is the detailed load order for the pre-defined physical schemas:
- EBS_CAL_COMMON
- EBS_FIN_COMMON
- EBS_FND_COMMON
- EBS_HR_COMMON
- EBS_ITEM_COMMON
- EBS_PARTY_COMMON
- EBS_AP
- EBS_AR
- EBS_GL
- EBS_XLA
- EBS_XLA_MV
- EBS_PO
- EBS_ONT
- EBS_INV
- EBS_PA
- EBS_AR_MV
- EBS_AR_SNP
- EBS_COMMON_DIM_ALL
- EBS_AP_FACTS_ALL
- EBS_AR_FACTS_ALL
- EBS_GL_FACTS_ALL
- EBS_OM_FACTS_ALL
- EBS_PO_FACTS_ALL
- Load_to_Synapse_EBS_COMMON_DIM_ALL
- Load_to_Synapse_EBS_AP_FACTS_ALL
- Load_to_Synapse_EBS_AR_FACTS_ALL
- Load_to_Synapse_EBS_GL_FACTS_ALL
- Load_to_Synapse_EBS_OM_FACTS_ALL
- Load_to_Synapse_EBS_PO_FACTS_ALL
Manage Physical Schema Load Jobs
A set of pre-defined phsical schema load jobs are available to load data from Oracle EBS into Incorta, and load data from Incorta into Azure Synapse. The recommended load order above is built into the pre-defined load job schedule.
Schema Load Job | Description |
---|---|
EBS_CAL_COMMON_Job | This job loads the EBS_CAL_COMMON physical schema |
EBS_FIN_COMMON_Job | This job loads the EBS_FIN_COMMON physical schema |
EBS_FND_COMMON_Job | This job loads the EBS_FND_COMMON physical schema |
EBS_HR_COMMON_Job | This job loads the EBS_HR_COMMON physical schema |
EBS_ITEM_COMMON_Job | This job loads the EBS_ITEM_COMMON physical schema |
EBS_PARTY_COMMON_Job | This job loads the EBS_PARTY_COMMON physical schema |
EBS_AP_Job | This job loads the EBS_AP physical schema |
EBS_AR_Job | This job loads the EBS_AR physical schema |
EBS_GL_Job | This job loads the EBS_GL physical schema |
EBS_PO_Job | This job loads the EBS_PO physical schema |
EBS_ONT_Job | This job loads the EBS_ONT physical schema |
EBS_INV_Job | This job loads the EBS_INV physical schema |
EBS_PA_Job | This job loads the EBS_PA physical schema |
EBS_COMMON_DIM_ALL_Job | This job loads the EBS_COMMON_DIM_ALL physical schema and Azure Synapse |
EBS_AR_MV_Job | This job loads the EBS_AR_MV physical schema |
EBS_AR_SNP_Job | This job loads the EBS_AR_SNP physical schema |
EBS_AP_FACTS_ALL_Job | This job loads the EBS_AP_FACTS_ALL physical schema |
EBS_AR_FACTS_ALL_Job | This job loads the EBS_AR_FACTS_ALL physical schema |
EBS_GL_FACTS_ALL_Job | This job loads the EBS_GL_FACTS_ALL physical schema |
EBS_OM_FACTS_ALL_Job | This job loads the EBS_OM_FACTS_ALL physical schema |
EBS_PO_FACTS_ALL_Job | This job loads the EBS_PO_FACTS_ALL physical schema |
Load2Synapse_EBS_COMMON_DIM_ALL_Job | This job loads EBS_COMMON_DIM_ALL into Azure Synapse |
Load2Synapse_EBS_AP_FACTS_ALL_Job | This job loads EBS_AP_FACTS_ALL into Azure Synapse |
Load2Synapse_EBS_AR_FACTS_ALL_Job | This job loads EBS_AR_FACTS_ALL into Azure Synapse |
Load2Synapse_EBS_GL_FACTS_ALL_Job | This job loads EBS_GL_FACTS_ALL into Azure Synapse |
Load2Synapse_EBS_OM_FACTS_ALL_Job | This job loads EBS_OM_FACTS_ALL into Azure Synapse |
Load2Synapse_EBS_PO_FACTS_ALL_Job | This job loads EBS_PO_FACTS_ALL into Azure Synapse |
Activate Schema Load Jobs
Here are the steps to activate the schema load jobs:
- In the Navigation bar, select Scheduler.
- In the Context bar, select Schema Loads.
- In the Schema Loads list view, for each job listed in the above table, in the Status column, select SUSPENDED.
- In the Confirm Changing Status dialog, select Ok. The job Status should change to ACTIVE.
Change Load Job Frequency
The pre-defined load jobs are scheduled to run once every hour. You can change the frequency to support your business needs. Here are the steps to change the frequency of the schema load jobs:
- In the Navigation bar, select Scheduler.
- In the Context bar, select Schema Loads.
- In the Schema Loads list view, select a schema load job name.
- In the Edit Schema Load dialog, in Every, enter an increment and select a period.
- Select Save.
Customize Incorta Data Delivery
There may be customizations that you would like to make to support your specific business needs. Here are some common customizations along with detailed implementation steps:
- Add new columns to existing fact or dimension tables
- Add a new dimension to an existing fact table
- Add a new fact table
- Add a new data source and create facts and dimensions
Add New Columns to Existing Fact or Dimension Tables
You can add new columns to existing fact or dimension tables. Following are the steps for both types of tables:
Add the New Column to the Physical Schema as Needed
- Determine if the new column exists in the corresponding Incorta physical schema. For example, to add a new column to the DimSuppliers dimension table, determine if the column already exists in EBS_PARTY_COMMON.AP_Suppliers. If the column exists, continue to the next step. If it does not exist, refer to the Apply Optional Customizations to the Oracle EBS data applications section of Data applications → Install and Configure Oracle EBS for Incorta On-Premises to add the column to the Incorta physical schema.
Add the New Column to the Business Schema
- Add the column to the appropriate data mart business schema. The name of the business schema has a suffix of DM, the abbreviation for data mart. Within each DM business schema, there is a business view for each fact and dimension table. Here are the steps to add the column to the business view for the example:
- In the Navigation bar, select Business Schema.
- In the Business Schema Manager, select the CommonDimensionsDM business schema to open it.
- In the Business Schema Designer, for the DimSuppliers business view, select More Options (⋮ vertical ellipsis).
- Select Edit.
- To add the new column, drag and drop it from the Data panel to the business schema view.
- In the Action bar, select Done.
Add the New Column to the Materialized View
- Add the new column to the corresponding fact or dimension materialized view in the appropriate physical schema. The name of the physical schema will end in _ALL. Here are the steps to add the column to the materialized view for the example:
- In the Navigation bar, select Schema.
- In the Schema Manager, select the Schemas tab.
- In the list view of physical schemas, select the EBS_COMMON_DIM_ALL schema to open it.
- In the Schema Designer, in the Tables section, select the DimSuppliers table to open it.
- In the Table Editor, select the Materialized icon to open the Data Source dialog.
- In the Data Source dialog, in Script, select Edit Query. Add the new column to the end of the SELECT statement.
- Select Validate.
- Select Done.
Load the Physical Schemas
- If you added the new column to the physical schema in the first step, perform a full load of the physical schema. Here are the steps to perform a full load of the physical schema for the example:
- In the Navigation bar, select Schema.
- In the Schema Manager, select the Schemas tab.
- In the list view of physical schemas, select the EBS_PARTY_COMMON schema to open it.
- In the Schema Designer, in the Action bar, select Load → Load now → Full.
- Perform a full load of the physical schema containing the materialized view. This will also load Synapse, as the physical schema contains a materialized view script that has a name with a prefix of Load_Synapse. Here are the steps to perform a full load of the materialized view physical schema for the example:
- In the Navigation bar, select Schema.
- In the Schema Manager, select the Schemas tab.
- In the list view of physical schemas, select the EBS_COMMON_DIM_ALL schema to open it.
- In the Schema Designer, in the Action bar, select Load → Load now → Full.
Check the Load Status
- Check the status of the Synapse data load with the following steps:
- In the Navigation bar, select Schema.
- In the Schema Manager, select the Schemas tab.
- In the list view of physical schemas, select the _ALL schema of interest to open it.
- In the Schema Designer, in the Tables section, select the Load_Synapse table to open it.
- In the Columns section, select the Preview Data link.
- In the Preview dialog, review the rows_status column.
- If the Synapse data load is successful, add the new column to the PowerBI model and visualizations.
Add a New Dimension to an Existing Fact Table
You can add a new dimension to an existing fact table. Following are the steps:
Design and Model the New Dimension
- Identify the base EBS source tables and views, and the key column, or composite key, you will use to join the new dimension to the existing fact table.
Add the Source Tables to the Physical Schema as Needed
- Determine if the EBS source tables for the new dimension exist in the Incorta physical schema. For example, if you want to add a new dimension called DimPartners, identify the EBS source tables that contain the related data. If the EBS source tables exist, continue to the next step. If they do not exist, refer to the Apply Optional Customizations to the Oracle EBS data applications section of Data applications → Install and Configure Oracle EBS for Incorta On-Premises to add the tables to the Incorta physical schema.
Add the Dimension Table to the Business Schema
- Add the dimension table to the appropriate data mart business schema. The name of the business schema has a suffix of DM, the abbreviation for data mart. Within each DM business schema, there is a business view for each fact and dimension table. Here are the steps to add the dimension table to the business schema for the example:
- In the Navigation bar, select Business Schema.
- In the Business Schema Manager, select the CommonDimensionsDM business schema to open it.
- In the Business Schema Designer, in the Action bar, select + New → Add New View.
- Name the view DimPartners.
- To add new columns, drag and drop them from the Data panel to the business schema view.
- Add the LAST_UPDATE_DATE from each of the EBS source tables. If there are multiple last update date columns, add a unique suffix, such as LAST_UPDATE_DATE_PO_HDR. Add logic for null dates:
(ifNull(EBS_PO.RCV_SHIPMENT_HEADERS.LAST_UPDATE_DATE,timestamp("1980-01-01 00:00:00.000"))
- Add the ID column(s) that will be used as the key to join to the same ID in the fact table.
- Add the LAST_UPDATE_DATE from each of the EBS source tables. If there are multiple last update date columns, add a unique suffix, such as LAST_UPDATE_DATE_PO_HDR. Add logic for null dates:
- In the Action bar, select Done.
Create a New Materialized View for the Dimension
Create a new Incorta PostgreSQL materialized view in the corresponding _ALL physical schema. Here are the steps for the example:
In the Navigation bar, select Schema.
In the Schema Manager, select the Schemas tab.
In the list view of physical schemas, select the EBS_COMMON_DIM_ALL schema to open it.
In the Schema Designer, in the Action bar, select + New → Derived Table → Materialized View.
For Language, select Incorta PostgreSQL.
Enable Incremental.
Select Edit Query for Script and Incremental Script, and enter the SQL. See below for tips on how to generate the SQL and add logic to the incremental script using the last update date.
In properties, select Add Property, and enter the following:
Key Value spark.executor.cores 1 spark.executor.memory 1G spark.driver.memory 3G spark.cores.max 1
For Language, select Incorta PostgreSQL.
- Select Validate.
- For Table Name, enter DimPartners.
- In the Table Editor for the columns that are keys in the materialized view, in the Function column, select key.
- Select Done.Tip → How to generate a PostgreSQL SELECT statement with the Schema Wizard
- You can use the Schema Wizard to generate the PostgreSQL with the following steps:
- In the Navigation bar, select Schema.
- In the Action bar, select + New → Schema Wizard.
- In step 1, Choose a Source,
- In Name, enter a physical schema name.
- For Select a Datasource, select Postgres.
- In step 2, Manage Tables,
- Select a data source and a table.
- Select Customize SQL.
- Select Format.
- Copy the SQL and paste it into the Incorta PostgreSQL materialized view Script property.
- You can use the Schema Wizard to generate the PostgreSQL with the following steps:
- For the Incremental Script, add logic to get all rows that were modified after the maximum last update date of the dimension materialized view underlying tables.
Load the Physical Schemas
- If you added a new table to the physical schema in the first step, perform a full load of the physical schema. Here are the steps to perform a full load for the example:
- In the Navigation bar, select Schema.
- In the Schema Manager, select the Schemas tab.
- In the list view of physical schemas, select the EBS_PARTY_COMMON schema to open it.
- In the Schema Designer, in the Action bar, select Load → Load now → Full.
- Perform a full load of the schema that contains the new Incorta PostgreSQL materialized view. This will also load Synapse, as the physical schema contains a materialized view that has a name with a prefix of Load_Synapse. Here are the steps to perform a full load of the materialized view physical schema for the example:
- In the Navigation bar, select Schema.
- In the Schema Manager, select the Schemas tab.
- In the list view of physical schemas, select the EBS_COMMON_DIM_ALL schema to open it.
- In the Schema Designer, in the Action bar, select Load → Load now → Full.
Check the Load Status
- Check the status of the Synapse data load with the following steps:
- In the Navigation bar, select Schema.
- In the Schema Manager, select the Schemas tab.
- In the list view of physical schemas, select the _ALL schema of interest to open it.
- In the Schema Designer, in the Tables section, select the Load_Synapse table to open it.
- In the Columns section, select the Preview Data link.
- In the Preview dialog, review the rows_status column.
- If the Synapse data load is successful, add the new dimension table to the PowerBI model and visualizations. Create joins from the new dimension table to the fact tables. Create a concatenated key if the join uses a composite key.
Add a New Fact Table
You can add one or more new fact tables that may involve new dimensions. Following are the steps:
Design and Model the New Fact Table
- Identify the base EBS source tables and views, and the key column, or composite key, you will use to join the new fact table to new and existing dimensions.
Add the Source Tables to the Physical Schema as Needed
- Determine if the EBS source tables for the new fact table exist in the Incorta physical schema. For example, if you want to add a new fact called FactBulkOrder, identify the EBS source tables that contain the related data. If the EBS source tables exist, continue to the next step. If they do not exist, refer to the Apply Optional Customizations to the Oracle EBS data applications section of Data applications → Install and Configure Oracle EBS for Incorta On-Premises to add the tables to the Incorta physical schema.
- Add the fact table to the appropriate data mart business schema. The name of the business schema has a suffix of DM, the abbreviation for data mart. Within each DM business schema, there is a business view for each fact and dimension table. Here are the steps to add the fact table to the business schema for the example:
- In the Navigation bar, select Business Schema.
- In the Business Schema Manager, select the PurchaseOrderDM business schema to open it.
- In the Business Schema Designer, in the Action bar, select + New → Add New View.
- Name the view FactBulkOrder.
- To add new columns, drag and drop them from the Data panel to the business schema view.
- Add the LAST_UPDATE_DATE from each of the EBS source tables. If there are multiple last update date columns, add a unique suffix. such as LAST_UPDATE_DATE_PO_HDR. Add logic for null dates:
(ifNull(EBS_PO.RCV_SHIPMENT_HEADERS.LAST_UPDATE_DATE,timestamp("1980-01-01 00:00:00.000"))
- Add the ID column(s) that will be used as the key to join each dimension table to the new fact table.
- Add the LAST_UPDATE_DATE from each of the EBS source tables. If there are multiple last update date columns, add a unique suffix. such as LAST_UPDATE_DATE_PO_HDR. Add logic for null dates:
- In the Action bar, select Done.
Create a New Materialized View for the Fact Table
Create a new Incorta PostgreSQL materialized view in the corresponding _ALL physical schema. Here are the steps for the example:
In the Navigation bar, select Schema.
In the Schema Manager, select the Schemas tab.
In the list view of physical schemas, select the EBS_PO_FACTS_ALL schema to open it.
In the Schema Designer, in the Action bar, select + New → Derived Table → Materialized View.
For Language, select Incorta PostgreSQL.
Enable Incremental.
Select Edit Query for Script and Incremental Script, and enter the SQL. See below for tips on how to generate the SQL and add logic to the incremental script using the last update date.
In properties, select Add Property, and enter the following:
Key Value spark.executor.cores 2 spark.executor.memory 2G spark.driver.memory 3G spark.cores.max 4
For Language, select Incorta PostgreSQL.
Select Validate.
For Table Name, enter DimPartners.
In the Table Editor for the columns that are keys in the materialized view, in the Function column, select key.
Select Done.
Tip → How to generate a PostgreSQL SELECT statement with the Schema Wizard- In the Navigation bar, select Schema.
- In the Action bar, select + New → Schema Wizard.
- In step 1, Choose a Source,
- In Name, enter a physical schema name.
- For Select a Datasource, select Postgres.
- In step 2, Manage Tables,
- Select a data source and a table.
- Select Customize SQL.
- Select Format.
- Copy the SQL and paste it into the Incorta PostgreSQL materialized view Script property.
- For the Incremental Script, add logic to get all rows that were modified after the maximum last update date of the dimension materialized view underlying tables.
* Perform a full load of the physical schema you added a new table to in the first step. Here are the steps to perform a full load for the example: * In the Navigation bar, select **Schema**. * In the Schema Manager, select the **Schemas** tab. * In the list view of physical schemas, select the **EBS_PO** schema to open it. * In the Schema Designer, in the Action bar, select **Load** → **Load now** → **Full**.
Load the Physical Schemas
- Perform a full load of the schema that contains the new Incorta PostgreSQL materialized view. This will also load Synapse, as the physical schema contains a materialized view that has a name with a prefix of Load_Synapse. Here are the steps to perform a full load of the materialized view physical schema for the example:
- In the Navigation bar, select Schema.
- In the Schema Manager, select the Schemas tab.
- In the list view of physical schemas, select the EBS_PO_FACTS_ALL schema to open it.
- In the Schema Designer, in the Action bar, select Load → Load now → Full.
Check the Load Status
- Check the status of the Synapse data load with the following steps:
- In the Navigation bar, select Schema.
- In the Schema Manager, select the Schemas tab.
- In the list view of physical schemas, select the _ALL schema of interest to open it.
- In the Schema Designer, in the Tables section, select the Load_Synapse table to open it.
- In the Columns section, select the Preview Data link.
- In the Preview dialog, review the rows_status column.
- If the Synapse data load is successful, add the new fact table to the PowerBI model and visualizations. Create joins from the new fact table to all new or existing dimension tables. Create a concatenated key if the join uses a composite key.
Add a New Data Source and Create Facts and Dimensions
You can add one or more new fact or dimension tables from data sources other than Oracle EBS. Following are the steps:
- Design and model the fact table and related dimensions, if they do not already exist. Identify the data source tables and views, and the key column, or composite key, you will use to join the new fact table to new and existing dimensions.
- Create a new external data source in Incorta. Refer to References → Connectors for a list of available connectors and detailed instructions on how to connect to your external data source.
- Create a new physical schema or add to an existing physical schema to create the tables from the new data source. Refer to Tools → Schema Manager for detailed instructions on how to create or modify a physical schema.
- Perform a full load of the new or modified existing physical schema.
- Refer to the previous customization sections for steps on how to add new columns, dimensions, and facts.
Additional Information
Troubleshooting
- For large tables, to limit full data loads, add a SQL clause to the table query:
WHERE CREATION_DATE > <DATE>
. You may need to contact Incorta Support to increase your cluster size. - Some of the formula columns will be incompatible. In this situation, the formula columns can be created in Power BI.
- A data type mismatch may occur if the parquet data types are not mapped properly to the MS SQL data types.
- If table creation fails in Synapse, this may be due to the following:
- Key columns are not defined in the Incorta materialized view
- Synapse is paused
Support for Source System Row Deletion
Incorta supports the deletion of rows in the source system through use of security filters. For more information, refer to Discussions on the Incorta Community.
About Entity Object Naming Conventions for the EBS Data Application
- Oracle EBS physical schemas have a prefix of EBS.
- Business schemas with facts and dimensions have a suffix of DM, the abbreviation for data mart.
- Dimension business views and materialized views have a prefix of Dim.
- Fact business views and materialized views have a prefix of Fact.
- Physical schemas used to load parquet and Synapse have an _ALL suffix.
- Materialized views used to load Synapse have a Load_Synapse prefix.