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Unlocking business agility: A modern framework for automating data pipelines with StreamSets

Relying on outdated integration tools can be a significant barrier to success in the fast-moving, interconnected world of modern business.

The widespread use of point-to-point integrations often results in a fragmented ecosystem, limiting visibility into crucial processes. Without standardized approaches and with the complexity of configurations across various scenarios, companies struggle with inefficiencies that hinder growth and agility.

Good news - We've developed a cutting-edge framework to streamline your data integration process, empowering users to autonomously manage and maintain new schedules. Leveraging over a decade of experience in designing enterprise-level data pipelines, this solution promises seamless integration and accessibility.

During this virtual session, we’ll take an in-depth look at:
  • Common challenges of automating data integration
  • StreamSets’ framework for automating complex data pipelines
  • A demo of the framework using a common data integration use case

GiuseppeMura Giuseppe Mura
Director, Solutions Engineering

Giuseppe has spent the last 20 years working for technology companies providing transformational technologies in support of Data and Analytics programmes. Having joined StreamSets 5 years ago, he leads the solution engineering team, helping some of the EMEA's largest organisations transform the way they access, prepare and distribute data in support of data-centric programmes.

MarkBrooks Mark Brooks
Solution Architect

Mark Brooks is a Solution Architect with more than 20 years of experience in data integration. He has been at StreamSets for more than six years and specializes in the use of StreamSets' Python SDK and Kubernetes-based deployment.
Giuseppe Mura
Giuseppe Mura
Director, Solutions Engineering

Giuseppe has spent the last 20 years working for technology companies providing transformational technologies in support of Data and Analytics programmes. Having joined StreamSets 5 years ago, he leads the solution engineering team, helping some of the EMEA's largest organisations transform the way they access, prepare and distribute data in support of data-centric programmes.
Mark Brooks
Mark Brooks
Solution Architect

Mark Brooks is a Solution Architect with more than 20 years of experience in data integration. He has been at StreamSets for more than six years and specializes in the use of StreamSets' Python SDK and Kubernetes-based deployment.
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