---
title: 'Talend Job 2: Retrieving Twitter data in real-time'
url: 'https://rilhia.com/media/job-of-the-week/talend-job-2-retrieving-twitter-data-in-real-time'
markdown: 'https://rilhia.com/media/job-of-the-week/talend-job-2-retrieving-twitter-data-in-real-time.md'
date: '2022-06-22'
description: 'Real-Time Data Ingestion: The Twitter Pipeline This video is a practical demonstration of my work as a Developer Advocate, showing how to leverage Talend to build a robust, real-time data ingestion pipeline. I guide you through creating a Talend Route and a Talend Job to collect data from Twitter. …'
---

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# Talend Job 2: Retrieving Twitter data in real-time

 Jun 22, 2022

## Real-Time Data Ingestion: The Twitter Pipeline

This video is a practical demonstration of my work as a Developer Advocate, showing how to leverage Talend to build a robust, real-time data ingestion pipeline. I guide you through creating a Talend Route and a Talend Job to collect data from Twitter. While I used the Australian Grand Prix as an example, the solution is designed to be highly adaptable for monitoring any live event or current topic.

**Key highlights include:**

- Setting up the Twitter Developer environment and configuring the necessary API keys and credentials.
- Building a Talend Route using the `cMessagingEndpoint` with the Twitter Camel component to handle real-time streams.
- Implementing a `cProcessor` to extract specific fields like tweet text, ID, and user information using Twitter4J.
- Integrating Talend Jobs to pass route data to a dedicated job for file output in CSV format.

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---

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