Scheda corso
NovaNext Training / Oracle / Software as a Service - Oracle Human Capital Management Cloud / Oracle HCM Cloud: Importing Data

Oracle HCM Cloud: Importing Data

Codice
D96197GC10
Durata
2 Giorni
Prezzo
1.600,00 € (iva escl.)
Lingua
Italiano
Modalità
Virtual Classroom
Corso in aula
       

 

Schedulazione
Luogo Data Iscrizione
A Richiesta

 

Prerequisiti

Introduction to Oracle HCM Cloud (COMING SOON)



Introduction to Oracle Human Capital Mgmt Cloud

Audience

Functional Implementer





Implementation Consultant

 

Obiettivi

Set the HCM Data Loader configuration parameters



create a basic dat file



Load numeric values, dates, and times



Load lookup-validated attributes



Supply date-effective history



Set not null values to null



Describe the HCM Data Loader automation process



Load worker records



Load supervisors and update existing workers



Load user updates



Cancel or terminate a work relationship



Correct or reverse a termination



Run the post-load processes

 

Contenuti

Import and Export Data Overview

Ways in which Oracle HCM Cloud Supports Data Import

Basic Features of HCM Data Loader

HCM Data Loader Restrictions

Basic Features of HCM Spreadsheet Data Loader

Import Data Using Specialized Data Loaders

Selecting the Appropriate Data-import Mechanism

HCM Data Loader Overview

Key Features of HCM Data Loader

Importing and Loading Data Using HCM Data Loader

Identifying and Correcting Errors by Using HCM Data
Loader

Data Set Summary and Data Set Status

Benefits of Using HCM Data Loader

HCM Data Loader Business Objects and File Formats

Oracle HCM Cloud Business Object Shape

Business Object Hierarchy

HCM Data Loader Dat File Format

Creating a Basic Dat File

Generating HCM Data Loader Template Files

HCM Data Loader: Data Considerations

Loading Numeric Values, Dates, and Times

Loading Lookup-Validated Attributes

Supplying Source Keys, User Keys, Surrogate IDs, and
GUIDs

Supplying Date-Effective History

Setting Not Null Values to Null

Loading Attachments and Images

Loading Translated Data

Loading Flexfield Data

Loading and Monitoring Data Using HCM Data Loader

Setting the HCM Data Loader Configuration Parameters

Initiating Data Load

Monitoring the Progress of the Loaded Data

Managing Errors

 HCM Data Loader
Automation Process

Loading Workers

Creating User Accounts

Loading Worker Records

Supplying Mandatory Components Required to Load a New
Worker

Loading Supervisors and Updating Existing Workers

Canceling or Terminating a Work Relationship

Correcting or Reversing a Termination

Running the Post-Load Processes























































































Loading User Updates

Description:

This Oracle HCM Cloud: Importing Data training helps you
develop an understanding of the HCM Data Loader



functionality and the business objects and file formats
it uses. Explore various kinds of data you can load using HCM



Data Loader, while learning the import and load data
process; review and edit errors through a combination of



interactive lessons and hands-on activities.



Learn To:



Describe the key features and benefits of HCM Data
Loader.



load supervisors and update existing workers.



Cancel or terminate a work relationship.



Run the post-load processes.



Describe the Oracle HCM Cloud business object shape and
business object hierarchy.



Describe the HCM Data Loader .dat file format.



Generate HCM Data Loader template file.



Use source keys, user keys, surrogate IDs, and GUIDs.



Load attachments and images, translated data, and
flexfield data.



Benefits to You



By taking this course, you will develop a better
understanding of the key concepts of HCM Data Loader. You can



efficiently load various kinds of data in bulk. You'll
also walk away with the knowledge and skills to load worker records



and identify the mandatory components you need to supply
to load new workers.



Please Note



This course is relevant for customers using Fusion
Applications through Release 11.1.11. It's beneficial for both Oracle



Cloud and on-premises deployments.