Home » Elevate Your ETL: Seamlessly Integrate Melissa’s SSIS Data Quality Tools with Azure Data Factory

Elevate Your ETL: Seamlessly Integrate Melissa’s SSIS Data Quality Tools with Azure Data Factory

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Melissa Sponsored On-Demand Webinar

Webcast Abstract

Are you migrating SSIS workloads to the cloud? Melissa’s data quality components for SSIS are now fully compatible with Azure Data Factory, enabling you to validate, cleanse, and enrich your data in SSIS packages running on Azure SSIS Integration Runtime.

In this live democast, we will show how to deploy existing SSIS packages to Azure, configure them in ADF pipelines, and execute them seamlessly in the cloud using Melissa’s trusted contact data validation and deduplication tools.

Learn how to accelerate your cloud migration without rewriting ETL processes and deliver high-quality data across your enterprise.

Speaker

Ben Nguyen, Sales Engineer Melissa

Ben Nguyen, Sales Engineer, Melissa

Ben Nguyen is a Sales Engineer at Melissa helping organizations modernize their data quality and ETL workflows using tools like Azure Data Factory and SSIS. He works closely with clients to validate and standardize contact data, detect and merge duplicate records, and clean and transform complex datasets. Ben specializes in helping teams transition their on-premises SSIS packages to the cloud while optimizing data pipelines for scalability and performance.

Sponsored by

melissa

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