![]() Should there be a need to modify the query required to obtain the desired result, this is where that task can be performed. The next figure is a preview of one of the added dimensions to ascertain that we have correctly setup the parameters as required. 1 Below is the workspace with all components. The initial step in this context is to bring in all the individual tMSSqlInput components and setup the parameters required to read the data from the source (SQL Server). To get started, we have generated sample data with five dimensions using the adventure works data set.įor this purpose, these are all CDs and will create and populate the fact table (FactFinance). To follow this process, the assumption is made that the reader is familiar with the basic functionality of this software. ![]() Our goal here is to share with you a simple ETL job (called FinanceFactTable) using Talend’s Data Integration tool. Of course, the complexity of this process is largely dependent on individual business requirements. How does it work?įact Tables are an essential part of a data warehouse solution. Built on a comprehensive IDE, Talend offers greater control and flexibility as required with the ability to modify the generated Java code. ![]() Talend’s unified platform architecture continues to gain strong momentum in the area of Data Integration, Data Management, Data Quality and Big Data. ![]() Populating a Fact Table Using Talend Open Studio for Integration ![]()
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