Skip to main content

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.

Labels:
Location: India

Comments

New comments are not allowed.

Popular posts from this blog

Differences between Talend and Databricks

Feature/Aspect Talend Databricks Integration Approach Open source with both free and paid versions available. Proprietary platform for big data analytics and AI. Cost Generally more cost-effective, especially for small to medium-sized businesses. Pricing may be higher, but it provides a comprehensive big data analytics platform. Ease of Use Has a user-friendly, Eclipse-based Studio for designing ETL processes. Uses a visual drag-and-drop interface. Offers a collaborative environment with notebooks for data engineering and machine learning tasks. Connectivity Supports a wide range of connectors and integrations, including cloud services and big data platforms. Integrates seamlessly with various big data and cloud services. Native support for Apache Spark. Scalability Well-suited for small to medium-sized projects, but may face challenges with extremely large datasets. Built on Apache Spark, designed for scalability and handling large-scale data processing. Deployment Options Supports on...
Post a Comment
Read more

Differences between Talend and Informatica

  Feature/Aspect Talend Informatica Integration Approach Open source with both free and paid versions available. Proprietary with a focus on enterprise solutions. Cost Generally more cost-effective, especially for small to medium-sized businesses. Typically more expensive, targeted at larger enterprises. Ease of Use Has a user-friendly, Eclipse-based Studio for designing ETL processes. Uses a visual drag-and-drop interface. Known for its user-friendly interface, making it easy for both developers and business users. Connectivity Supports a wide range of connectors and integrations, including cloud services and big data platforms. Extensive connectivity options, including a variety of databases, cloud services, and mainframes. Scalability Well-suited for small to medium-sized projects, but may face challenges with extremely large datasets. Designed for scalability, making it suitable for handling large and complex enterprise-level data integration. Deployment Options Supports on-pre...
Post a Comment
Read more

What's new with Talend?

Latest News on Talend ETL as of November 13, 2023 Talend is a leading provider of open-source data integration software. Its products enable organizations to integrate and manage data from a variety of sources, including on-premises systems, cloud applications, and big data platforms. Here are some of the latest news on Talend ETL: Qlik Acquires Talend On May 16, 2023, Qlik announced its acquisition of Talend. This acquisition brings together two leading providers of data integration and analytics software. The combined company will offer a comprehensive portfolio of solutions for businesses of all sizes to help them manage and analyze their data. Talend Unveils Major Data Fabric Platform Update In February 2023, Talend unveiled a major update to its data fabric platform. This update included new features for data observability, data quality, and data governance. It also included support for new data sources and analytics technologies. Talend Achieves Elite Tier Partner Status with Sno...
Post a Comment
Read more