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Birst でRedshift Data のビジュアライゼーションを構築

CData JDBC Driver for Redshift とBirst クラウドエージェントを使用して、Birst でRedshift 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 Redshift と組み合わせると、Birst Cloud Agent を経由してリアルタイムRedshift 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Redshift 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Redshift data 操作に高いパフォーマンスを提供します。Birst からRedshift 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Redshift 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Redshift data を視覚化および分析することを可能にします。

Birst でRedshift 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. CDataRedshift).
  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 Redshift, set the following:

    • Server: Set this to the host name or IP address of the cluster hosting the Database you want to connect to.
    • Port: Set this to the port of the cluster.
    • Database: Set this to the name of the database. Or, leave this blank to use the default database of the authenticated user.
    • User: Set this to the username you want to use to authenticate to the Server.
    • Password: Set this to the password you want to use to authenticate to the Server.

    You can obtain the Server and Port values in the AWS Management Console:

    1. Open the Amazon Redshift console (http://console.aws.amazon.com/redshift).
    2. On the Clusters page, click the name of the cluster.
    3. On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed.

    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 Redshift JDBC Driver.Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.redshift.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 Redshift:

    jdbc:redshift:User=admin;Password=admin;Database=dev;Server=examplecluster.my.us-west-2.redshift.amazonaws.com;Port=5439;
  8. Set the Driver Name: cdata.jdbc.redshift.RedshiftDriver and click Save.

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

Redshift 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. Redshift).
  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 Redshift with the Cloud Agent and Birst, you can easily create robust visualizations and reports on Redshift data.Download a free, 30-day trial and start building Birst visualizations today.

 
 
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