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Adaptv walkthrough

Build reports in Data Integration by selecting specific dimensions and metrics. You can pull data from Adaptv by choosing a connection, configuring report parameters, and improving performance using interval chunks.

Pulling data from Adaptv

Procedure

Step 1: selecting the Adaptv connection

  • Choose the appropriate Adaptv connection from the available list.
  • If the desired connection does not exist, create or update an existing connection.

Step 2: configuring metrics and dimensions

  • Metrics: Click the drop-down to populate a list of all available metrics. You can search by typing the metric name.
  • Dimensions: Click the drop-down to populate a list of all available dimensions. You can search by typing the dimension name.
important

You cannot select some combinations of dimensions and metrics. The system displays an error when incompatible dimensions and metric combinations are selected.

Step 3: setting date range for the report

  • Start Date: Enter the beginning date for the data pull.
  • End Date: Enter the end date for the data pull.
  • Last Days Back: Specify the number of days from the start date for pulling data.

Step 4: optimizing data pull using interval chunks

  • Interval Chunk Size: Specify the interval size to split the data pull over long periods. Leaving this field empty results in a single interval (1 day or 1 week).
important
  • Adaptv can have difficulty returning large amounts of data in a single request. Splitting the data pull into smaller intervals can improve performance by reducing the load on the Adaptv API.
  • The results are identical regardless of whether you use interval chunks. Interval chunks are used for performance optimization.
  • If using interval chunks, make sure to include the date column in the report to identify the time associated with each record in the results.

Best practices

  • Always verify the compatibility of selected dimensions and metrics to avoid errors.
  • Use interval chunks when pulling data over extended periods to enhance performance.
  • Include the date column using interval chunks to maintain data accuracy and consistency.
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