Import and Load Data using HCM Data Loader

Import and Load Data using HCM Data Loader (HDL)

When working in Oracle Fusion HCM, one of the most critical implementation tasks is data migration and bulk data processing. Whether you are onboarding employees, updating assignments, or loading organization structures, HCM Data Loader (HDL) is the primary tool used in real-world projects.

In almost every implementation or support engagement, consultants rely on HDL for high-volume, secure, and structured data loads. In this guide, we’ll break down HDL from a practical consultant perspective, including configurations, file structures, real use cases, and troubleshooting strategies.

What is HCM Data Loader (HDL)?

HCM Data Loader (HDL) is a file-based data import tool used in Oracle Fusion HCM to load, update, and delete business objects using structured .dat files.

Unlike spreadsheet uploads or UI-based entry, HDL allows:

• Bulk data processing
• Complex hierarchical data loads
• Automated integrations
• Incremental updates

Key Concept

HDL works using:

• Business Objects (Worker, Assignment, Job, Department, etc.)
• .dat files (pipe-delimited format)
• Metadata-driven structure

Key Features of HCM Data Loader

1. High Volume Data Handling

Supports millions of records efficiently — critical during initial data migration.

2. Object Hierarchy Support

Allows loading parent-child relationships (e.g., Worker → Assignment → Salary).

3. Incremental Updates

You can update specific attributes without reloading full records.

4. Error Handling and Validation

Detailed log files help identify issues at record level.

5. Automation Ready

Used extensively with Oracle Integration Cloud (OIC Gen 3) for integrations.

Real-World Business Use Cases

Use Case 1: Employee Data Migration During Implementation

A company migrating from legacy HR system to Fusion loads:

• 25,000 employees
• Job structures
• Departments
• Salary data

HDL is used to ensure structured, validated bulk migration.

Use Case 2: Monthly Bulk Updates

A global company updates:

• Allowances
• Benefits
• Cost centers

Instead of manual UI updates, HDL processes thousands of records in minutes.

Use Case 3: Integration with Third-Party Systems

Payroll or recruitment systems send data to Fusion via:

• API → OIC → HDL

Example:

• New hires from recruitment system automatically created using HDL.

Architecture / Technical Flow

Understanding the HDL flow is critical for consultants.

HDL Flow Overview

1. Source Data Preparation (CSV/Excel)
2. Convert to .dat file format
3. Zip the files
4. Upload via:
   • Data Exchange UI OR
   • UCM (Universal Content Management)
5. Submit HDL process
6. Monitor logs and validate results

Prerequisites

Before working with HDL, ensure:

• Required roles:
  • Human Capital Management Integration Specialist
  • Application Implementation Consultant
• Access to:
  • Data Exchange work area
  • UCM (Content Server)
• Knowledge of:
  • Business Objects
  • HDL File Structure
  • Load Types (MERGE, DELETE, etc.)

HDL File Structure Explained

HDL uses a pipe (|) delimited format.

Example: Worker.dat

Important Points

• First row = METADATA
• Second row = operation (MERGE/DELETE)
• Fields must match Oracle structure exactly
• Date format = YYYY/MM/DD

Step-by-Step Process to Load Data using HDL

Step 1 – Prepare Data File

• Create Excel sheet
• Map fields according to HDL object
• Convert to .dat format

Tip: Always refer to HDL templates from Oracle documentation.

Step 2 – Zip the Files

• Place .dat files in a folder
• Zip the folder

Example:

Step 3 – Upload the File

Navigation Path:

Navigator → Tools → Data Exchange → Import and Load Data

• Click Import File
• Upload the .zip file

Step 4 – Submit Load Process

• Select uploaded file
• Click Load
• Choose parameters:
  • Business Object
  • Load Type

Step 5 – Monitor Process

Go to:

Navigator → Tools → Scheduled Processes

Check:

• Status (Succeeded / Error)
• Log files
• Error messages

Testing the HDL Load

Example Scenario: Load New Employee

Input Data

• Person Number: 2001
• Name: Ravi Kumar
• Hire Date: 2025/01/01

Expected Outcome

• Worker created successfully
• Assignment generated
• Employee visible in Person Management

Validation Checks

• Search employee in UI
• Verify assignment details
• Check logs for warnings

Common Implementation Challenges

1. Data Format Errors

• Incorrect date format
• Missing mandatory fields

Fix: Validate data before upload

2. Incorrect Business Object Usage

Example:
Using Worker object for assignment updates

Fix: Use correct object hierarchy

3. Sequence Issues

Child records loaded before parent

Fix: Maintain proper order

4. Duplicate SourceSystemId

HDL uses SourceSystemId as unique identifier

Fix: Ensure uniqueness

5. Large File Failures

Uploading huge files may fail

Fix: Split into smaller batches

Best Practices from Real Projects

1. Always Use SourceSystemId

This allows:

• Easy updates
• Data traceability

2. Use Incremental Loads

Avoid full reloads — use MERGE wisely

3. Validate in Lower Environment First

Never directly load into production.

4. Maintain Data Mapping Document

Track:

• Source fields
• Target fields
• Transformations

5. Use HDL with OIC for Automation

In real implementations:

• OIC receives data
• Converts to HDL format
• Uploads automatically

6. Log Analysis is Critical

Always review:

• Error files
• Business object logs

Summary

HCM Data Loader (HDL) is one of the most powerful tools in Oracle Fusion HCM for data migration, bulk updates, and integrations.

From initial implementation to ongoing support, HDL plays a central role in:

• Loading employee data
• Managing organizational structures
• Automating integrations

For consultants, mastering HDL means:

• Faster implementations
• Fewer manual errors
• Better control over data

To explore more, refer to the official Oracle documentation:
https://docs.oracle.com/en/cloud/saas/human-resources/index.html

FAQs

1. What is the difference between HDL and HSDL?

• HDL = File-based bulk data load
• HSDL = Spreadsheet-based UI tool

HDL is preferred for large-scale implementations.

2. Can HDL be automated?

Yes. HDL is commonly integrated with:

• Oracle Integration Cloud (OIC Gen 3)
• REST APIs

3. What is MERGE in HDL?

MERGE is used to:

• Insert new records
• Update existing records

It is the most commonly used operation in HDL