ETL Sage Cloud Accounting in Oracle Data Integrator



This article shows how to transfer Sage Cloud Accounting data into a data warehouse using Oracle Data Integrator.

Leverage existing skills by using the JDBC standard to read and write to Sage Cloud Accounting: Through drop-in integration into ETL tools like Oracle Data Integrator (ODI), the CData JDBC Driver for Sage Cloud Accounting connects real-time Sage Cloud Accounting data to your data warehouse, business intelligence, and Big Data technologies.

JDBC connectivity enables you to work with Sage Cloud Accounting just as you would any other database in ODI. As with an RDBMS, you can use the driver to connect directly to the Sage Cloud Accounting APIs in real time instead of working with flat files.

This article walks through a JDBC-based ETL -- Sage Cloud Accounting to Oracle. After reverse engineering a data model of Sage Cloud Accounting entities, you will create a mapping and select a data loading strategy -- since the driver supports SQL-92, this last step can easily be accomplished by selecting the built-in SQL to SQL Loading Knowledge Module.

Install the Driver

To install the driver, copy the driver JAR (cdata.jdbc.sagebcaccounting.jar) and .lic file (cdata.jdbc.sagebcaccounting.lic), located in the installation folder, into the ODI appropriate directory:

  • UNIX/Linux without Agent: ~/.odi/oracledi/userlib
  • UNIX/Linux with Agent: ~/.odi/oracledi/userlib and $ODI_HOME/odi/agent/lib
  • Windows without Agent: %APPDATA%\Roaming\odi\oracledi\userlib
  • Windows with Agent: %APPDATA%\odi\oracledi\userlib and %APPDATA%\odi\agent\lib

Restart ODI to complete the installation.

Reverse Engineer a Model

Reverse engineering the model retrieves metadata about the driver's relational view of Sage Cloud Accounting data. After reverse engineering, you can query real-time Sage Cloud Accounting data and create mappings based on Sage Cloud Accounting tables.

  1. In ODI, connect to your repository and click New -> Model and Topology Objects.
  2. On the Model screen of the resulting dialog, enter the following information:
    • Name: Enter SageBCAccounting.
    • Technology: Select Generic SQL (for ODI Version 12.2+, select Microsoft SQL Server).
    • Logical Schema: Enter SageBCAccounting.
    • Context: Select Global.
  3. On the Data Server screen of the resulting dialog, enter the following information:
    • Name: Enter SageBCAccounting.
    • Driver List: Select Oracle JDBC Driver.
    • Driver: Enter cdata.jdbc.sagebcaccounting.SageBCAccountingDriver
    • URL: Enter the JDBC URL containing the connection string.

      You can connect to Sage Business Cloud Accounting using the embedded OAuth connectivity. When you connect, the OAuth endpoint opens in your browser. Log in and grant permissions to complete the OAuth process. See the OAuth section in the online Help documentation for more information on other OAuth authentication flows.

      Built-in Connection String Designer

      For assistance in constructing the JDBC URL, use the connection string designer built into the Sage Cloud Accounting JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

      java -jar cdata.jdbc.sagebcaccounting.jar

      Fill in the connection properties and copy the connection string to the clipboard.

      Below is a typical connection string:

      jdbc:sagebcaccounting:InitiateOAuth=GETANDREFRESH
  4. On the Physical Schema screen, enter the following information:
    • Name: Select from the Drop Down menu.
    • Database (Catalog): Enter CData.
    • Owner (Schema): If you select a Schema for Sage Cloud Accounting, enter the Schema selected, otherwise enter SageBCAccounting.
    • Database (Work Catalog): Enter CData.
    • Owner (Work Schema): If you select a Schema for Sage Cloud Accounting, enter the Schema selected, otherwise enter SageBCAccounting.
  5. In the opened model click Reverse Engineer to retrieve the metadata for Sage Cloud Accounting tables.

Edit and Save Sage Cloud Accounting Data

After reverse engineering you can now work with Sage Cloud Accounting data in ODI. To edit and save Sage Cloud Accounting data, expand the Models accordion in the Designer navigator, right-click a table, and click Data. Click Refresh to pick up any changes to the data. Click Save Changes when you are finished making changes.

Create an ETL Project

Follow the steps below to create an ETL from Sage Cloud Accounting. You will load SalesInvoices entities into the sample data warehouse included in the ODI Getting Started VM.

  1. Open SQL Developer and connect to your Oracle database. Right-click the node for your database in the Connections pane and click new SQL Worksheet.

    Alternatively you can use SQLPlus. From a command prompt enter the following:

    sqlplus / as sysdba
  2. Enter the following query to create a new target table in the sample data warehouse, which is in the ODI_DEMO schema. The following query defines a few columns that match the SalesInvoices table in Sage Cloud Accounting: CREATE TABLE ODI_DEMO.TRG_SALESINVOICES (TOTAL_AMOUNT NUMBER(20,0),contact_name VARCHAR2(255));
  3. In ODI expand the Models accordion in the Designer navigator and double-click the Sales Administration node in the ODI_DEMO folder. The model is opened in the Model Editor.
  4. Click Reverse Engineer. The TRG_SALESINVOICES table is added to the model.
  5. Right-click the Mappings node in your project and click New Mapping. Enter a name for the mapping and clear the Create Empty Dataset option. The Mapping Editor is displayed.
  6. Drag the TRG_SALESINVOICES table from the Sales Administration model onto the mapping.
  7. Drag the SalesInvoices table from the Sage Cloud Accounting model onto the mapping.
  8. Click the source connector point and drag to the target connector point. The Attribute Matching dialog is displayed. For this example, use the default options. The target expressions are then displayed in the properties for the target columns.
  9. Open the Physical tab of the Mapping Editor and click SALESINVOICES_AP in TARGET_GROUP.
  10. In the SALESINVOICES_AP properties, select LKM SQL to SQL (Built-In) on the Loading Knowledge Module tab.

You can then run the mapping to load Sage Cloud Accounting data into Oracle.

Ready to get started?

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