Loading data from SQL Server

On this page, we'll explain you how to add a SQL Server data source and create a loading job using it to synchronize your source with your SlicingDice's databases.


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Add a SQL Server Data Source

Before adding your SQL Server data source on SlicingDice, you need to be logged in our Control Panel. Then, you need to go to the Data Sources page so we can start our tutorial.


How to add an SQL Server Data Source

Before creating your data source you need to have the following information in order to connect to your SQL Server database.

  • The domain or IP address used to connect to SQL Server
  • The port where SQL Server is running. The default port is 1433
  • Your SQL Server username and password
  • The name of your database

Now let's start creating your data source just clicking on the Create new data source button on SlicingDice's Data Source section


  • Data Source setup

    The first step is the configuration of your data source identification on SlicingDice. The following screen shows step 1.

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    Three fields will appear. Each field function is described at the table below.

    Field Description
    Data Source Name The name of your data source. Can be edited at any time. Mandatory
    Data Source Labels/Tags Labels/tags you might want to associate to a source, in order to organize your sources. Can be edited at any time. Optional
    Data Source Description The description of your data source. Can be edited at any time. Optional

    When ready, click on the Save & Continue button to go to Step 2.

  • Data Source Details

    Below you can see an example of the information and credentials that you should provide so SlicingDice can be able to connect to your SQL Server database.

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    Field Description
    Data Source Type The type of data source. In this case we're using Microsoft SQL Server.
    Access type The type of connection to use. One of the following two options should be selected:
    - Direct Connection: connect to the data source with the given credentials.
    - Tunnel Connection: connect to the data source via a SSH Tunnel with the given credentials.
    Host name The domain or IP address used to connect to the data source.
    Port The port where the SQL Server is running. The default port of SQL Server is 1433.
    Username Your SQL Server username.
    Password The password for a given username.
    Database Your SQL Server database name
    SSH Key (if you selected Tunnel Connection at Data Source Type field) The SSH Key that will be used to create a tunnel connection to SQL Server

    You can test the connection by clicking on the Test Connection button. If everything goes ok you'll see a success message.

    Now you can go to the next step clicking on Save & Continue

  • Confirmation

    Here you'll see a summary of the configurations defined for this data source before you finally create it.

    The following image shows an example of a confirmation screen, which the name of the data source is drinks.

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    If everything is ok, click on the Submit button and then you'll receive a success creation message.

    Now you'll be able to find your new data source at the data sources list as you can see in the following image.

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    That's it! The next step is to load your SQL Server data into SlicingDice creating a loading job.

Add a new loading job

Now all the connection configuration with your SQL Server source is completed, so the next step is just to create and execute a loading job using this SQL Server Data Source you've configured on SlicingDice.

Here are the creation jobs tutorials for each type of loading job. Choose the most helpful for your use case:

  • One-time loading job: The one-time loading job loads your data once, needing manual intervention to execute it. This loading job type is useful if you don't update your data frequently.
  • Manual incremental loading job: The manual incremental loading job loads your data on-demand when new data needs to be inserted in SlicingDice. You need to manually start this loading job.
    Differently from an one-time loading job, only new rows will be inserted in the database. Your dataset needs to have a timestamp column in order to use this loading job type.
  • Automatic loading job: The automatic loading job loads your data frequently, specified by a predetermined time interval. You don't need to manually start this loading job, as it executes automatically.
    Your dataset needs to have a timestamp column in order to use this loading job type.