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Visualize CSV Data in Sisense

Create an ElastiCube in Sisense app with access to CSV data.

Sisense lets you join, analyze, and picture data to make more intelligent business decisions and craft effective strategies. The CData JDBC Driver for CSV makes it easy to integrate with CSV data in Sisense. This article shows how to create an ElastiCube that connects to CSV data and use the ElastiCube to visualize CSV data in Sisense.

Configure the Connection to CSV

Before creating the ElastiCube, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CDatat\CData JDBC Driver for CSV\lib) or copy the jar file (cdata.jdbc.csv.CSV.jar) to a new folder in the Sisense JDBC driver directory (typically C:\ProgramData\Sisense\DataConnectors\jdbcdrivers).

  1. In the Data page of the Sisense application, create a new ElastiCube (or open an existing one).
  2. In the Model Editor, click "+ Data" to open the Add Data dialog box.
  3. Click Generic JDBC to open the JDBC settings.
  4. Set the connection string property to the JDBC URL for CSV, adding required properties.

    The DataSource property must be set to a valid local folder name.

    Also, specify the IncludeFiles property to work with text files having extensions that differ from .csv, .tab, or .txt. Specify multiple file extensions in a comma-separated list. You can also set Extended Properties compatible with the Microsoft Jet OLE DB 4.0 driver. Alternatively, you can provide the format of text files in a Schema.ini file.

    Set UseRowNumbers to true if you are deleting or updating in CSV. This will create a new column with the name RowNumber which will be used as key for that table.

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.csv.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.

    A typical example follows:

    jdbc:csv:DataSource=MyCSVFilesFolder;
  5. Set the JDBC JARs folder property to the location of the CData JDBC Driver JAR file (see above).
  6. Set the driver's class name to the class name for the JDBC Driver: cdata.jdbc.csv.CSVDriver
  7. Leave the username and password properties blank.
  8. Click Next.

Add CSV Data to an ElastiCube

Once you are connected to CSV, you can add views to your ElastiCubes.

  1. From the Tables list, select the tables and/or views you wish to work with.
  2. (Optional) Click "+" to customize the data you want to import with SQL.
  3. Click Done.
  4. Click Build to build the ElastiCube for analytics.

Visualize CSV Data

With CSV tables added to your ElastiCube, you can perform analytics on your CSV data.

  1. Navigate to the Analytics page of the Sisense application
  2. Select a Dashboard (or create a new one)
  3. Select your Data Source and click Create
  4. Click "+ Select Data" and choose fields to add to your visualization.

With the CData JDBC Driver for CSV, you can access CSV data right in Sisense for powerful visualization and analytics. Download a free, 30-day trial and start working with CSV data in Sisense today!