About this guide
This document describes how to install and configure the ETL Client for Infor Data Lake on a Windows server.
Introduction
You can use the Extraction Transformation and Load (ETL) Client for data extraction, upserting data and replicating data from Infor Data Lake on a Windows Client.
Requirements and recommendations
For a correct system configuration before the installation of the ETL Client there are some hardware and software requirements that you must meet.
Installation and setup
Before you can start the installation of the ETL Client, ensure that you have installed all recommended requirements. For example, the correct Java version is required and must be installed.
Configuring kettle.properties
The kettle.properties file holds the ETL Client environment variables that are used each time the ETL session is opened.
Building the first transformation
Transformations are the Job steps that process a table / schema from the Data Lake to the local database store.
Building the first job
Jobs must consist of several basics steps.
Scheduling the job
To schedule an ETL job requires two components.
Functions, Transformations and Logging
Some extra information about functions, transformations and logging.
Home