Informatica MDM Cloud SaaS Interview FAQ: What are common troubleshooting steps for data load failures in Informatica MDM Cloud SaaS?
What are common troubleshooting steps for data load failures in Informatica MDM Cloud SaaS?
Common Troubleshooting Steps for Data Load Failures in Informatica MDM Cloud SaaS
Not everything goes as planned while loading data into Informatica MDM Cloud SaaS. There are multiple actions you can take to troubleshoot and resolve a failed data load. Here’s a simple breakdown:
1. Check for Data Format Issues
What to Do: Make sure the data you are loading is in the correct format (e.g., CSV, XML, JSON).
Example: The load may fail if you're uploading client data and some of the phone numbers contain unusual characters or letters. These values need to be cleaned up or corrected.
2. Review Error Logs
What to Do: Informatica MDM Cloud SaaS generates logs that detail what went wrong during the data load.
Example: If the log shows a specific error, like "Invalid data type for date field," it’s a signal that one of the date fields has the wrong format (e.g., "12-34-2023" instead of "12-24-2023").
3. Check Source-to-Target Mapping
What to Do: Verify that the data from the source is correctly mapped to the fields in the target system.
Example: If you're loading product data and the product price from the source file is supposed to go into the “Price” column but is accidentally mapped to a “Product ID” field, the load will likely fail.
4. Validate Data Completeness
What to Do: Ensure there are no missing mandatory fields in your data file. Certain fields may be required for a successful load.
Example: If you’re loading employee data, fields like "Employee ID" or "First Name" might be mandatory. If any of these are missing, the data load will fail.
5. Resolve Data Quality Issues
What to Do: Clean up duplicates or bad data that might cause conflicts during the load.
Example: Let’s say you’re loading customer data, and you have two records for the same customer, but with different addresses. This might trigger a duplication error during the data load.
6. Check for Network or Connectivity Issues
What to Do: Sometimes the failure happens because of a network issue or a problem connecting to the source or target system.
Example: If you’re loading data from an external cloud system (like AWS or Azure) and your internet connection drops, the data load may fail. You’ll need to ensure that the connection is stable before retrying.
7. Validate Data Volume and Performance Limits
What to Do: Check if the amount of data you’re trying to load is too large for the system to handle in one go.
Example: If you're trying to load millions of records at once, the system might time out or crash. Splitting the data into smaller batches could help solve this problem.
8. Verify Integration Settings
What to Do: Ensure that any integrations between Informatica MDM and other systems (like ERP, CRM, or databases) are correctly configured.
Example: If you’re loading customer orders from a CRM system but the API connection between the CRM and Informatica MDM is not properly set up, the data won’t load. You need to check the API configuration to fix it.
Real-Time Example: Retail Company Data Load Failure
Imagine you work at a retail company and are loading product data into Informatica MDM Cloud SaaS from an Excel file. The data load fails. Here’s how you’d troubleshoot:
Check the Format: You notice that the "Price" field in the Excel file contains a currency symbol (e.g., $100) when it should just be a number (100). You remove the symbol and try again.
Review Logs: The error log shows "Null value in mandatory field," pointing out that the "Product ID" column is missing for some products. You go back and add the missing IDs.
Source-Target Mapping: You realize that the "Product Description" column was accidentally mapped to "Product ID." You fix the mapping and reload the data.
After these steps, the data load completes successfully, and the products are correctly uploaded into the system.
Summary of Steps:
Check data format.
Review error logs.
Verify source-to-target mapping.
Ensure no mandatory fields are missing.
Clean up data quality issues.
Check network or connectivity.
Validate data size for performance limits.
Review integration settings.
Following these steps helps ensure that data loads smoothly into Informatica MDM Cloud SaaS and that any errors are quickly resolved.
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