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We've been experimenting with the DiscoverX tool and it's proving quite beneficial for our use case. However, we have identified a requirement that we feel would enhance our experience and possibly that of many other users.
Regex Search on Column Names:
While browsing through tables, we frequently encounter situations where we need to search for specific patterns in column names. For example, in some of our datasets, we have column names like 'latitude' and 'longitude'. It would be very helpful if we could use regular expressions to filter out tables or datasets that contain these specific column names.
Range-Based Column Type Filtering:
Another enhancement would be the ability to filter columns based on specific numeric ranges. For instance, if we want to discover tables where there's a column of type 'double' with values between -90.0 and 90.0 (possibly indicating latitude), and another column with values between -180.0 and 180.0 (possibly indicating longitude), it would make the discovery process significantly more efficient.
These two features combined would greatly enhance our ability to quickly identify and work with relevant datasets. We hope the team considers implementing these functionalities in a future update.
Thank you for the amazing work on DiscoverX and looking forward to even more enhanced capabilities!
Best regards,
Niels Lemmens from Husqvarna
The text was updated successfully, but these errors were encountered:
Hello DiscoverX team,
We've been experimenting with the DiscoverX tool and it's proving quite beneficial for our use case. However, we have identified a requirement that we feel would enhance our experience and possibly that of many other users.
Regex Search on Column Names:
While browsing through tables, we frequently encounter situations where we need to search for specific patterns in column names. For example, in some of our datasets, we have column names like 'latitude' and 'longitude'. It would be very helpful if we could use regular expressions to filter out tables or datasets that contain these specific column names.
Range-Based Column Type Filtering:
Another enhancement would be the ability to filter columns based on specific numeric ranges. For instance, if we want to discover tables where there's a column of type 'double' with values between -90.0 and 90.0 (possibly indicating latitude), and another column with values between -180.0 and 180.0 (possibly indicating longitude), it would make the discovery process significantly more efficient.
These two features combined would greatly enhance our ability to quickly identify and work with relevant datasets. We hope the team considers implementing these functionalities in a future update.
Thank you for the amazing work on DiscoverX and looking forward to even more enhanced capabilities!
Best regards,
Niels Lemmens from Husqvarna
The text was updated successfully, but these errors were encountered: