Inforiver
EDITable
EDITable
  • Introduction to EDITable
    • Why EDITable?
    • Supported Database Connections
  • Get Started
    • EDITable Pre-requisites
      • Admin consent for EDITable's Entra ID
        • Basic consent
        • Full admin consent
    • Install EDITable
    • Add EDITable visual
  • Getting Data into EDITable
    • Connect to Data
      • Get data
      • Assign fields
      • Configuration Steps
        • Configure source
        • Configure Columns
        • Configure Type 2 SCDs (Optional)
    • Create a Table
      • Create From Scratch
      • Use Existing Table
      • Import Data
  • Working with EDITable
    • EDITable interface
    • Manage Columns
      • General
      • Constraints
      • Lookup and Relation
      • Display
      • Import/Export Configuration
      • Add Database Column
      • Insert Column
    • Column Access Control
    • Row Identification
    • Table Operations (Insert/Update/Delete)
      • Edit data
      • Bulk Edit
      • Find and Replace
      • Insert rows
      • Insert Column
      • Import rows
      • Delete rows
      • Duplicate rows
      • Copy rows
      • Preview Changes
      • Reset Changes
    • Explore data
      • Search and filter
      • Sort and reorder
      • Show/Hide columns
      • Pin columns
      • Group Rows By
      • Summarize Column
    • Basic formatting
    • Conditional Formatting
  • Row Access Control
  • Approval Workflow
    • Review Changes - Workflow process
  • Type 2 SCDs
    • Configuring Type 2 SCDs in EDITable
  • Audit logs
  • Webhook
  • Display Settings
  • Commenting and Collaboration
    • Assign users & task status
    • View all comments & track changes
    • Comment Settings
  • Admin Portal & EDITable Console
    • Tables
    • Transaction Logs
    • Insights (Metrics)
    • Utility
      • Download Report
      • Pipeline
        • Power BI & EDITable deployment pipelines
        • Deployment in different destinations
        • Trigger deployment pipeline from external applications
        • Logs & other pipeline options
    • Manage Profile
    • Admin Portal
      • User Management
      • Settings
        • General Settings
        • Writeback Settings
          • Settings
          • EDITable managed DB
        • API token
    • Onboarding Actions
  • Formula and Functions
    • Conditional statements
      • IF
      • IFNA
      • SWITCH
    • Logical functions
      • AND
      • IN
      • ISBLANK
      • ISEMPTY
      • ISNUMBER
      • NOT
      • OR
      • XOR
    • Math functions
      • ABS
      • AVERAGE
      • AVERAGEIF
      • AVERAGEEXNEG
      • AVERAGEEXZERO
      • AVERAGEEXZERONEG
      • CEILING
      • COUNT
      • COUNTIF
      • DIVIDE
      • EVEN
      • EXP
      • FLOOR
      • LOG
      • MAX
      • MIN
      • PCT
      • POWER
    • Text formatting functions
    • Date functions
      • DATE
      • DATE.FORMAT
    • Other operators
  • Keyboard Shortcuts
  • Release Notes
    • EDITable - v1.7.5
    • EDITable - v1.7
    • EDITable - v1.6.5
    • EDITable - v1.6
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  1. Getting Data into EDITable
  2. Connect to Data

Get data

PreviousConnect to DataNextAssign fields

Last updated 4 months ago

In this section, we will get the data by connecting to a database through DirectQuery mode in Power BI.

If you're looking to create a table from scratch or import spreadsheet data, you can refer to .

  1. To load the required data into Power BI, select Get data on the Home tab. The procedure is the same as importing any data into Power BI. In this example, we'll choose 'Azure SQL database'.

  1. In the SQL Server database dialog box, enter the Server and Database (optional) names, and make sure the Data Connectivity mode is set to DirectQuery.

EDITable connects to data sources only through DirectQuery. This ensures the report always uses the current data.

Note: For any database connection, make sure to select DirectQuery mode. Please find below the image that appears when you select a Snowflake database.

  1. Select the required table in the Navigator to preview the data and click Load. No transformation is required for this data as it is already prepared.

  1. You might get a warning pop-up depending on the connection you choose. Since you will be connecting to your trusted source, you can proceed by clicking OK to load the data.

You can now view the 'EmployeeDemo' table in the Data pane. Note that the connection is through DirectQuery.

Now that we have connected to the database, the next step is to assign the fields in the Visualizations pane.

this section
Select database
Enter the server and database names
DirectQuery mode
Load data
Data loaded in the Data pane