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How to perform incremental load in Talend ETL?

 

How to perform incremental load in Talend ETL?

How to Perform Incremental Load in Talend ETL Tool.

Talend ETL is a data integration tool for data transformation, data quality and application integration. Its core feature is the ability to extract, transform and load (ETL) data from various sources. Talend’s first release was in 2006 and it has been growing since then. One of its key features is incremental loading and overwriting the existing records with new ones. Here are some ways to perform incremental load in Talend ETL.


What is incremental load?

The goal of incremental load is to keep the changes made in a certain time period and update the records with it.

It basically means that if we have a table of data and we incrementally load new values for this period of time, then all the old records will be left untouched. It's important to mention that only new records will be updated.

In Talend Data Loading, incremental loads can be achieved through different methods: using LOAD CSV, LOAD XML, several source database or using the File System Adapter. In this post, we'll talk about these methods in more detail.


Incremental Load in Talend ETL

Talend ETL is a data integration tool, which has everything you need for data transformation, data quality, and application integration. One of its key features is incremental loading and overwriting the existing records with new ones.

This blog will teach you how to use Talend ETL to perform incremental load. This blog will provide an example of incremental load in Talend ETL.


How to perform incremental load in Talend ETL?

Incremental loading is a way to update a data set with new data. It can be done by replacing or adding records in a table or partition of a database.


There are different main ways to perform an incremental load in Talend ETL:

1) Incremental Load on New File: This method updates the existing data set with new data from an external file. This is done by importing the new data from the external file and overwriting the existing records.


2) Incremental Load on Existing File: This method updates the existing data set with new data from another source, such as a database table. In this case, records from both sources are merged and updated in one go.


3) The source database may have date time fields that may help us identify which are those source records got updated. Using the context variable and audit control table features, we can retrieve only the newly inserted or updated records from source database.


I have created few videos to cover different types of scenario. For more information, check out my videos on my channel.


https://www.youtube.com/watch?v=dzuCoodt2qQ


https://www.youtube.com/watch?v=1S7xYoJlkgU&t=141s


https://www.youtube.com/watch?v=9ZFAm95ptJY


Conclusion

In this article, we have discussed how to use incremental load in Talend ETL tool. I have provided three different ways of incremental logic. Video links are pasted above.

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