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Amazon S3 Sweep

Add a record with a file, click save and that file will be swept into Amazon S3

Click here to add a record

 

REFRESH THIS PAGE AFTER ADDING A RECORD TO SEE YOUR FILE IN THE REPORT BELOW

File Attachment to File Attachment Sweep

Add a record into the FA to FA Sweep table and it will be swept into the FA to FA Destination table

Click here to add a record

 

Some options:

  1. Sweep a file into another table and KEEP orginal file.
  2. Sweep a file into another table and DELETE the original file, but keep the record.

REFRESH THIS PAGE AFTER ADDING A RECORD TO SEE YOUR FILE IN THE REPORT BELOW

Dropbox Sweep

Add a record with a file, click save and that file will be swept into Dropbox.

Click here to add a record

 

REFRESH THIS PAGE AFTER ADDING A RECORD TO SEE YOUR FILE IN THE REPORT BELOW

 

 

Bulk Sweep

Our File Attachment Sweep process can sweep many files in a single transaction.  You can setup a report in your application to filter the records to be processed and our add-on will sweep them all.  So you don't have to do them 1 at a time!

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Reports and Charts Panel
Each table has a panel listing its reports and charts, organized in groups.
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Fields to Extract:
Name for the new table:
Items in the new table are called:

When you bring additional fields into a conversion, Quickbase often finds inconsistencies. For example, say you're converting your Companies column into its own table. One company, Acme Corporation, has offices in New York, Dallas and Portland. So, when you add the City column to the conversion, Quickbase finds three different locations for Acme. A single value in the column you're converting can only match one value in any additional field. Quickbase needs you to clean up the extra cities before it can create your new table. To do so, you have one of two choices:

  • If you want to create three separate Acme records (Acme-New York, Acme-Dallas and Acme-Portland) click the Conform link at the top of the column.
  • If the dissimilar entries are mistakes (say Acme only has one office in New York and the other locations are data-entry errors) go back into your table and correct the inconsistencies—in this case, changing all locations to New York. Then try the conversion again.

Read more about converting a column into a table.

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