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Birst でDataRobot Data のビジュアライゼーションを構築

CData JDBC Driver for DataRobot とBirst クラウドエージェントを使用して、Birst でDataRobot data のリアルタイムの視覚化を構築します。

Birst は、組織が複雑なプロセスを迅速に理解し、最適化することを支援するクラウドビジネスインテリジェンス(BI)ツールおよび分析プラットフォームです。CData JDBC Driver for DataRobot と組み合わせると、Birst Cloud Agent を経由してリアルタイムDataRobot data に接続し、ビジュアライズを構築できます。ここでは、Cloud Agent を使用してDataRobot に連携し、Birst で動的レポートを作成する方法を段階的に説明します。

強力なデータ処理機能により、CData JDBC Driver はBirst のDataRobot data 操作に高いパフォーマンスを提供します。Birst からDataRobot への複雑なSQL クエリを発行すると、ドライバーはフィルタや集計などのサポートされているSQL 操作を直接DataRobot にプッシュし、組込みSQL エンジンを利用してクライアント側でサポートしない操作を処理します。組み込みの動的メタデータクエリにより、JDBC ドライバーはネイティブのBirst データ型を使用してDataRobot data を視覚化および分析することを可能にします。

Birst でDataRobot Data へのJDBC 接続を設定

Before creating the Birst project, you will need to install the Birst Cloud Agent (in order to work with the installed JDBC Driver).Also, copy the JAR file for the JDBC Driver (and the LIC file, if it exists) to the /drivers/ directory in the installation location for the Cloud Agent.

With the driver and Cloud Agent installed, you are ready to begin.

  1. Create a new project in Birst.
  2. Name the connection (e.g. CDataDataRobot).
  3. Choose Live Access.
  4. Select an agent.
  5. Set Database Type to Other.
  6. Set SQL Type to MSSQL
  7. Set the Connection string.

    To connect to DataRobot, the following connection properties are required: User, Password, and PredictionInstance. DataRobotKey may also be required depending on your type of DataRobot predictions instance. If using the Predictions API, DataFile is required. The CSV DataFile should include a header row as the first row of the datafile. APIKey is not required, but can be supplied. If not supplied, the driver will handle obtaining an APIKey.

    User, DataRobotKey, and APIKey are the credentials for the DataRobot account.

    ProjectID, DataFile, and ModelId are the parameters for the project, dataset, and model type.

    ビルトイン接続文字列デザイナー

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

    java -jar cdata.jdbc.datarobot.jar

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

    When you configure the JDBC URL, you may also want to set the Max Rows connection property.This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

    Below is a typical JDBC connection string for DataRobot:

    jdbc:datarobot:PredictionInstance=myinstance.orm.datarobot.com;DataFile=PATH\TO\input_file.csv;DataRobotKey=123-abc-456-def;User=username;Password=password;
  8. Set the Driver Name: cdata.jdbc.datarobot.DataRobotDriver and click Save.

NOTE:Since authentication to DataRobot is managed from the connection string, you can leave Security Credentials blank.

DataRobot Data オブジェクトを設定

Now that the connection is configured, we are ready to configure the schema for the dataset, choosing the tables, views, and columns we wish to visualize.

  1. Select the Schema (e.g. DataRobot).
  2. Click on Tables and/or Views to connect to those entities and click Apply.
  3. Select the Tables and Columns you want to access and click Done.

With the objects configured, you can perform any data preparation and discover any relationships in your data using the Pronto Prepare and Relate tools.

ビジュアライゼーションを構築

After you prepare your data and define relationships between the connected objects, you are ready to build your visualization.

  1. Select the Visualizer tool from the menu.
  2. Select Measures & Categories from your objects
  3. Select and configure the appropriate visualization for the Measure(s) you selected.

Using the CData JDBC Driver for DataRobot with the Cloud Agent and Birst, you can easily create robust visualizations and reports on DataRobot data.Download a free, 30-day trial and start building Birst visualizations today.

 
 
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