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Data migrations from legacy to a new modern stack can be complicated. The first step to figure out what data assets to migrate can be lengthy, manual and error prone.

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K provides insights, recommendations and reports that can be self serviced at the start and during the migration. At the start of the migration, K automates the migration analysis that would otherwise takes months to complete. During the migration, K provides you with live tracking of your migration to ensure you stay on track.

This page is a primer on how to use some of K’s features to help you understand how your legacy data platform is used.

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Understanding usage at the Asset level

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You can use K to understand how a source an entire source (its tables, schema, and databases) is used

You can use the Usage insight dashboard to understand how a particular source is used

Select the usage frequency to see which tables are used daily, weekly, monthly etc.

The dashboards also includes recommendations for .

Go to Insights in the menu, and select Usage Insights. Select the By Sources tab and choose the source you want to review.

On this dashboard you can see

  • Breakdown of usage by frequency, by trust score. Select a frequency or trust score to see the data assets that belong to that category.

  • Usage over time

  • Recommendations to review data assets that are unused or used infrequently. These are good opportunities to archive or free up compute and storage prior to the migration

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To get granular details about usage at the source level, you can use Ask K to extract details from K.

Go to Apps , and select Ask K and . On the management tab . you will see the following options:

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Table Data usage: Select the Usage by source option. Select a source and a time period and run the report.

User usage: Select the Usage by a user option. Select either a single user, all users, or usage by select number of users (useful for finding data assets only used by 1 person). Select a time period and run the report

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