Extract data from SAP using ODATA Services with Qlik Talend Data Fabric Pingahla Tutorial

Extract data from SAP using ODATA Services with Qlik Talend Data Fabric Pingahla Tutorial

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Extract data from SAP using ODATA Services with Qlik Talend Data Fabric Pingahla Tutorial
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Welcome to the official Pingahla YouTube channel!

In this video we show you how to extract data from SAP using ODATA Services through a functional model with Qlik Talend Data Fabric. This comprehensive tutorial is designed to help you step by step to understand the process and leverage the power of ODATA Services to seamlessly integrate SAP data into your Qlik Talend Data Fabric environment.

What you learn:

1. Introduction to ODATA Services:
* Understand what ODATA Services are and how they facilitate data extraction from SAP.

2. Setting up the functional model:
* Learn how to set up and configure the data extraction functional model.

3. Connect Qlik Talend Data Fabric to SAP:
* Step-by-step guide to establishing a connection between Qlik Talend Data Fabric and SAP.

4. Data extraction process:
* Detailed explanation of the data extraction process using ODATA Services.

5. Data Integration and Management:
* Tips and best practices for integrating and managing the extracted data within Qlik Talend Data Fabric.

Why watch this video?
* Expert Guidance: Our team of experts at Pingahla provide clear and concise instructions to help you master data extraction from SAP.
* Comprehensive Coverage: From installation to execution, we cover all the essential aspects to ensure you have a smooth experience.
* Practical insights: Gain valuable insights and practical tips to optimize your data integration process.

Whether you're a data professional, business analyst, or IT enthusiast, this video is perfect for anyone looking to improve their data extraction skills and streamline their data management processes.

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* Like the video if you found it useful.
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Connect with us:
* Visit our website: https://www.Pingahla.com
*Follow us on LinkedIn: https://www.linkedin.com/company/pingahla/
* Contact us: [email protected]

Thanks for watching, and let's start your journey to efficient data extraction and management with Pingahla!

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