Hi Team am having a bit of trouble using Fuzzy matching, The first table is Master source contain clean data and way more records than i need.
The second table contain the names but some of them are written with mistakes, I need to match them and add the Lcodes to the second table but only the rows that is in user table. I tried ended up filling user table with all Master records. Any help guys?
ID MASTER | Names | L_codes |
6y | Sam leo | 324532453 |
7y | Monica freddy | 657568342 |
8y | Jaye kkk | 978686757 |
9y | Luke QQQ | 211324345 |
ID USER | Names | Codes |
16 | Sam Loe | AUS22 |
17 | Monica fredy | AUH00 |
18 | Lukee QQQ | AOK33 |
Solved! Go to Solution.
Hi @MZ900605
Seems like there are duplicate names in both data source. You need to make names unique in atleast one of the data source to prevent many to many joining.
@atcodedog05 Most of the group fields are null
Hi @MZ900605
Can you reduce the Fuzzy match accuracy to 80%. The Null are the ones which didnt get matched.
@atcodedog05 yeah this works many thanks but am wondering can I have 2 outputs the one that matched Master and the "user" records that did not match?
User | Count |
---|---|
19 | |
14 | |
13 | |
9 | |
8 |