What is a duplicate rule?

What is a duplicate rule?

Duplicate rules are the rules which define what needs to be done when a duplicate record is found. Records can be either Blocked from creation or Allowed to save as a new record as per the rules defined.

How do you run a duplicate rule?

Next, set up your Duplicate Rules.

1. Click.
2. From Setup, enter Duplicate Rules in the Quick Find box, then click Duplicate Rules.
3. Click New Rule, then select Contact.
4. Give the rule a name.
5. Next to Action on Create, select Allow and Report.
6. Next to Action on Edit, select Allow and Report.
7. Under Matching Rules:

Is there a way to remove duplicates in Einstein Analytics?

you can use compute relative functionality of Dataflow editor to remove duplicate record based on particular field.

What is duplicate record set in Salesforce?

A duplicate record set is a list of items identified as duplicates. It’s created when a duplicate rule or job runs. Let your Lightning Experience users merge duplicates by granting them access to duplicate record sets.

How do I manage duplicates in Salesforce?

Salesforce has the capability to effectively manage duplicates by simply adjusting the standard duplicate settings or by creating custom rules.

1. In your Salesforce org, search for Duplicate Rules in Set Up.
2. Select “Edit” to change an existing rule or ‘”New Rule” to add a new one.

How do I combine two datasets in Einstein Analytics?

We can join two datasets which are having a column in common….Steps are given below:

1. Create a new data flow and use edgemart transformation.
2. Now, we will use augment transformation to merge them into one dataset.
3. We are just one step away from merging the two datasets.
4. Update and run your data flow.

How do you remove duplicates in data flow?

Now your data flow will remove duplicate rows from your source by using the aggregate transformation, which groups by all rows by using a general hash across all column values. Add a code snippet for splitting your data into one stream that contains rows with nulls and another stream without nulls.