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ETL Quandl in Oracle Data Integrator

This article shows how to transfer Quandl data into a data warehouse using Oracle Data Integrator.

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

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

This article walks through a JDBC-based ETL -- Quandl to Oracle. After reverse engineering a data model of Quandl 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 and .lic file, located in the installation folder, into the ODI userlib directory:

On Unix: ~/.odi/oracledi/userlib On Windows: %APPDATA%\Roaming\odi\oracledi\userlib

Restart ODI to complete the installation.

Reverse Engineer a Model

Reverse engineering the model retrieves metadata about the driver's relational view of Quandl data. After reverse engineering, you can query real-time Quandl data and create mappings based on Quandl 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 Quandl.
    • Technology: Select Generic SQL.
    • Logical Schema: Enter Quandl.
    • Context: Select Global.
  3. On the Data Server screen of the resulting dialog, enter the following information:
    • Name: Enter Quandl.
    • Driver List: Select Oracle JDBC Driver.
    • Driver: Enter cdata.jdbc.quandl.QuandlDriver
    • URL: Enter the JDBC URL containing the connection string.

      Quandl uses an API key for authentication. See the help documentation for a guide to obtaining the APIKey property.

      Additionally, set the DatabaseCode connection property to the code identifying the Database whose Datasets you want to query with SQL. You can search the available Databases by querying the Databases view.

      Built-in Connection String Designer

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

      java -jar cdata.jdbc.quandl.jar

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

      Below is a typical connection string:

      jdbc:quandl:APIKey=abc123;DatabaseCode=WIKI;
  4. On the Physical Schema screen, enter the following information:
    • Schema (Schema): Enter Quandl.
    • Schema (Work Schema): Enter Quandl.
  5. In the opened model click Reverse Engineer to retrieve the metadata for Quandl tables.

Edit and Save Quandl Data

After reverse engineering you can now work with Quandl data in ODI. To edit and save Quandl 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 Quandl. You will load AAPL 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 AAPL table in Quandl: CREATE TABLE ODI_DEMO.TRG_AAPL (VOLUME NUMBER(20,0),Date 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_AAPL 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_AAPL table from the Sales Administration model onto the mapping.
  7. Drag the AAPL table from the Quandl 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 AAPL_AP in TARGET_GROUP.
  10. In the AAPL_AP properties, select LKM SQL to SQL (Built-In) on the Loading Knowledge Module tab.

You can then run the mapping to load Quandl data into Oracle.