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How does Informatica update NULL values in Salesforce?
Informatica Cloud supports updating NULL values in Salesforce by enabling the Set To NULL option available under Advanced properties of a target transformation. This implies NULL values are allowed to replace the existing values in the target Salesforce object.
What is NULL and blank in Salesforce?
If it contains Blank (” “) or no value then it will return True. IS NULL: This function will consider Blank (” “) as some value. And if your field has Blank(” “) then it will return false considering ‘Blank’ also as some value.
What are the considerations while importing data via data loader?
When importing data, Data Loader reads, extracts, and loads data from comma-separated values (CSV) files or from a database connection. When exporting data, it outputs CSV files. If commas aren’t appropriate for your locale, use a tab or other delimiter.
Where do I enter the field name and data type?
After you enter each field’s name and data type, you can specify how each field is used by entering properties in the property area. Before you enter any properties, however, you should enter all of you fields names and data types. A field name identifies the field to both you and to Microsoft Access.
Can You import a numeric table into access?
This will force MS Access to view the entire column as text, even if it contains numeric values. If you need to perform numeric calculations on that column once it’s successfully imported into Access, just open the table in Design View and manually change the data type back to a numeric type.
Why is field size important for numeric data types?
For numeric data types, the field size enables you to further define the type of number, which in turn determines the storage size. The table below shows the seven possible settings in the Numeric Field Size property. You should make the field size the smallest one possible; Access runs faster with smaller field sizes.
What should I do when importing data into Excel?
The goal is to get Access to import all the data the first time out, if possible. Even if the import gods favor you and everything goes well, you’ll probably need to normalize the imported data — and that means maintaining relationships while dividing the table into separate tables.